Class: AWS.TranscribeService
- Inherits:
-
AWS.Service
- Object
- AWS.Service
- AWS.TranscribeService
- Identifier:
- transcribeservice
- API Version:
- 2017-10-26
- Defined in:
- (unknown)
Overview
Constructs a service interface object. Each API operation is exposed as a function on service.
Service Description
Amazon Transcribe offers three main types of batch transcription: Standard, Medical, and Call Analytics.
-
Standard transcriptions are the most common option. Refer to for details.
-
Medical transcriptions are tailored to medical professionals and incorporate medical terms. A common use case for this service is transcribing doctor-patient dialogue into after-visit notes. Refer to for details.
-
Call Analytics transcriptions are designed for use with call center audio on two different channels; if you're looking for insight into customer service calls, use this option. Refer to for details.
Sending a Request Using TranscribeService
var transcribeservice = new AWS.TranscribeService();
transcribeservice.createCallAnalyticsCategory(params, function (err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Locking the API Version
In order to ensure that the TranscribeService object uses this specific API, you can
construct the object by passing the apiVersion
option to the constructor:
var transcribeservice = new AWS.TranscribeService({apiVersion: '2017-10-26'});
You can also set the API version globally in AWS.config.apiVersions
using
the transcribeservice service identifier:
AWS.config.apiVersions = {
transcribeservice: '2017-10-26',
// other service API versions
};
var transcribeservice = new AWS.TranscribeService();
Version:
-
2017-10-26
Constructor Summary collapse
-
new AWS.TranscribeService(options = {}) ⇒ Object
constructor
Constructs a service object.
Property Summary collapse
-
endpoint ⇒ AWS.Endpoint
readwrite
An Endpoint object representing the endpoint URL for service requests.
Properties inherited from AWS.Service
Method Summary collapse
-
createCallAnalyticsCategory(params = {}, callback) ⇒ AWS.Request
Creates a new Call Analytics category.
All categories are automatically applied to your Call Analytics transcriptions.
-
createLanguageModel(params = {}, callback) ⇒ AWS.Request
Creates a new custom language model.
When creating a new custom language model, you must specify:
-
If you want a Wideband (audio sample rates over 16,000 Hz) or Narrowband (audio sample rates under 16,000 Hz) base model
-
The location of your training and tuning files (this must be an Amazon S3 URI)
-
The language of your model
-
A unique name for your model
-
-
createMedicalVocabulary(params = {}, callback) ⇒ AWS.Request
Creates a new custom medical vocabulary.
Before creating a new custom medical vocabulary, you must first upload a text file that contains your vocabulary table into an Amazon S3 bucket.
-
createVocabulary(params = {}, callback) ⇒ AWS.Request
Creates a new custom vocabulary.
When creating a new custom vocabulary, you can either upload a text file that contains your new entries, phrases, and terms into an Amazon S3 bucket and include the URI in your request.
-
createVocabularyFilter(params = {}, callback) ⇒ AWS.Request
Creates a new custom vocabulary filter.
You can use custom vocabulary filters to mask, delete, or flag specific words from your transcript.
-
deleteCallAnalyticsCategory(params = {}, callback) ⇒ AWS.Request
Deletes a Call Analytics category.
-
deleteCallAnalyticsJob(params = {}, callback) ⇒ AWS.Request
Deletes a Call Analytics job.
-
deleteLanguageModel(params = {}, callback) ⇒ AWS.Request
Deletes a custom language model.
-
deleteMedicalScribeJob(params = {}, callback) ⇒ AWS.Request
Deletes a Medical Scribe job.
-
deleteMedicalTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Deletes a medical transcription job.
-
deleteMedicalVocabulary(params = {}, callback) ⇒ AWS.Request
Deletes a custom medical vocabulary.
-
deleteTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Deletes a transcription job.
-
deleteVocabulary(params = {}, callback) ⇒ AWS.Request
Deletes a custom vocabulary.
-
deleteVocabularyFilter(params = {}, callback) ⇒ AWS.Request
Deletes a custom vocabulary filter.
-
describeLanguageModel(params = {}, callback) ⇒ AWS.Request
Provides information about the specified custom language model.
This operation also shows if the base language model that you used to create your custom language model has been updated.
-
getCallAnalyticsCategory(params = {}, callback) ⇒ AWS.Request
Provides information about the specified Call Analytics category.
To get a list of your Call Analytics categories, use the operation.
. -
getCallAnalyticsJob(params = {}, callback) ⇒ AWS.Request
Provides information about the specified Call Analytics job.
To view the job's status, refer to
CallAnalyticsJobStatus
. -
getMedicalScribeJob(params = {}, callback) ⇒ AWS.Request
Provides information about the specified Medical Scribe job.
To view the status of the specified medical transcription job, check the
MedicalScribeJobStatus
field. -
getMedicalTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Provides information about the specified medical transcription job.
To view the status of the specified medical transcription job, check the
TranscriptionJobStatus
field. -
getMedicalVocabulary(params = {}, callback) ⇒ AWS.Request
Provides information about the specified custom medical vocabulary.
To view the status of the specified custom medical vocabulary, check the
VocabularyState
field. -
getTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Provides information about the specified transcription job.
To view the status of the specified transcription job, check the
TranscriptionJobStatus
field. -
getVocabulary(params = {}, callback) ⇒ AWS.Request
Provides information about the specified custom vocabulary.
To view the status of the specified custom vocabulary, check the
VocabularyState
field. -
getVocabularyFilter(params = {}, callback) ⇒ AWS.Request
Provides information about the specified custom vocabulary filter.
To get a list of your custom vocabulary filters, use the operation.
. -
listCallAnalyticsCategories(params = {}, callback) ⇒ AWS.Request
Provides a list of Call Analytics categories, including all rules that make up each category.
To get detailed information about a specific Call Analytics category, use the operation.
. -
listCallAnalyticsJobs(params = {}, callback) ⇒ AWS.Request
Provides a list of Call Analytics jobs that match the specified criteria.
-
listLanguageModels(params = {}, callback) ⇒ AWS.Request
Provides a list of custom language models that match the specified criteria.
-
listMedicalScribeJobs(params = {}, callback) ⇒ AWS.Request
Provides a list of Medical Scribe jobs that match the specified criteria.
-
listMedicalTranscriptionJobs(params = {}, callback) ⇒ AWS.Request
Provides a list of medical transcription jobs that match the specified criteria.
-
listMedicalVocabularies(params = {}, callback) ⇒ AWS.Request
Provides a list of custom medical vocabularies that match the specified criteria.
-
listTagsForResource(params = {}, callback) ⇒ AWS.Request
Lists all tags associated with the specified transcription job, vocabulary, model, or resource.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
. -
listTranscriptionJobs(params = {}, callback) ⇒ AWS.Request
Provides a list of transcription jobs that match the specified criteria.
-
listVocabularies(params = {}, callback) ⇒ AWS.Request
Provides a list of custom vocabularies that match the specified criteria.
-
listVocabularyFilters(params = {}, callback) ⇒ AWS.Request
Provides a list of custom vocabulary filters that match the specified criteria.
-
startCallAnalyticsJob(params = {}, callback) ⇒ AWS.Request
Transcribes the audio from a customer service call and applies any additional Request Parameters you choose to include in your request.
In addition to many standard transcription features, Call Analytics provides you with call characteristics, call summarization, speaker sentiment, and optional redaction of your text transcript and your audio file.
-
startMedicalScribeJob(params = {}, callback) ⇒ AWS.Request
Transcribes patient-clinician conversations and generates clinical notes.
-
startMedicalTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Transcribes the audio from a medical dictation or conversation and applies any additional Request Parameters you choose to include in your request.
In addition to many standard transcription features, Amazon Transcribe Medical provides you with a robust medical vocabulary and, optionally, content identification, which adds flags to personal health information (PHI).
-
startTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Transcribes the audio from a media file and applies any additional Request Parameters you choose to include in your request.
To make a
StartTranscriptionJob
request, you must first upload your media file into an Amazon S3 bucket; you can then specify the Amazon S3 location of the file using theMedia
parameter.You must include the following parameters in your
StartTranscriptionJob
request:-
region
: The Amazon Web Services Region where you are making your request.
-
-
tagResource(params = {}, callback) ⇒ AWS.Request
Adds one or more custom tags, each in the form of a key:value pair, to the specified resource.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
. -
untagResource(params = {}, callback) ⇒ AWS.Request
Removes the specified tags from the specified Amazon Transcribe resource.
If you include
.UntagResource
in your request, you must also includeResourceArn
andTagKeys
. -
updateCallAnalyticsCategory(params = {}, callback) ⇒ AWS.Request
Updates the specified Call Analytics category with new rules.
-
updateMedicalVocabulary(params = {}, callback) ⇒ AWS.Request
Updates an existing custom medical vocabulary with new values.
-
updateVocabulary(params = {}, callback) ⇒ AWS.Request
Updates an existing custom vocabulary with new values.
-
updateVocabularyFilter(params = {}, callback) ⇒ AWS.Request
Updates an existing custom vocabulary filter with a new list of words.
Methods inherited from AWS.Service
makeRequest, makeUnauthenticatedRequest, waitFor, setupRequestListeners, defineService
Constructor Details
new AWS.TranscribeService(options = {}) ⇒ Object
Constructs a service object. This object has one method for each API operation.
Examples:
Constructing a TranscribeService object
var transcribeservice = new AWS.TranscribeService({apiVersion: '2017-10-26'});
Options Hash (options):
-
params
(map)
—
An optional map of parameters to bind to every request sent by this service object. For more information on bound parameters, see "Working with Services" in the Getting Started Guide.
-
endpoint
(String|AWS.Endpoint)
—
The endpoint URI to send requests to. The default endpoint is built from the configured
region
. The endpoint should be a string like'https://{service}.{region}.amazonaws.com'
or an Endpoint object. -
accessKeyId
(String)
—
your AWS access key ID.
-
secretAccessKey
(String)
—
your AWS secret access key.
-
sessionToken
(AWS.Credentials)
—
the optional AWS session token to sign requests with.
-
credentials
(AWS.Credentials)
—
the AWS credentials to sign requests with. You can either specify this object, or specify the accessKeyId and secretAccessKey options directly.
-
credentialProvider
(AWS.CredentialProviderChain)
—
the provider chain used to resolve credentials if no static
credentials
property is set. -
region
(String)
—
the region to send service requests to. See AWS.TranscribeService.region for more information.
-
maxRetries
(Integer)
—
the maximum amount of retries to attempt with a request. See AWS.TranscribeService.maxRetries for more information.
-
maxRedirects
(Integer)
—
the maximum amount of redirects to follow with a request. See AWS.TranscribeService.maxRedirects for more information.
-
sslEnabled
(Boolean)
—
whether to enable SSL for requests.
-
paramValidation
(Boolean|map)
—
whether input parameters should be validated against the operation description before sending the request. Defaults to true. Pass a map to enable any of the following specific validation features:
- min [Boolean] — Validates that a value meets the min
constraint. This is enabled by default when paramValidation is set
to
true
. - max [Boolean] — Validates that a value meets the max constraint.
- pattern [Boolean] — Validates that a string value matches a regular expression.
- enum [Boolean] — Validates that a string value matches one of the allowable enum values.
- min [Boolean] — Validates that a value meets the min
constraint. This is enabled by default when paramValidation is set
to
-
computeChecksums
(Boolean)
—
whether to compute checksums for payload bodies when the service accepts it (currently supported in S3 only)
-
convertResponseTypes
(Boolean)
—
whether types are converted when parsing response data. Currently only supported for JSON based services. Turning this off may improve performance on large response payloads. Defaults to
true
. -
correctClockSkew
(Boolean)
—
whether to apply a clock skew correction and retry requests that fail because of an skewed client clock. Defaults to
false
. -
s3ForcePathStyle
(Boolean)
—
whether to force path style URLs for S3 objects.
-
s3BucketEndpoint
(Boolean)
—
whether the provided endpoint addresses an individual bucket (false if it addresses the root API endpoint). Note that setting this configuration option requires an
endpoint
to be provided explicitly to the service constructor. -
s3DisableBodySigning
(Boolean)
—
whether S3 body signing should be disabled when using signature version
v4
. Body signing can only be disabled when using https. Defaults totrue
. -
s3UsEast1RegionalEndpoint
('legacy'|'regional')
—
when region is set to 'us-east-1', whether to send s3 request to global endpoints or 'us-east-1' regional endpoints. This config is only applicable to S3 client. Defaults to
legacy
-
s3UseArnRegion
(Boolean)
—
whether to override the request region with the region inferred from requested resource's ARN. Only available for S3 buckets Defaults to
true
-
retryDelayOptions
(map)
—
A set of options to configure the retry delay on retryable errors. Currently supported options are:
- base [Integer] — The base number of milliseconds to use in the exponential backoff for operation retries. Defaults to 100 ms for all services except DynamoDB, where it defaults to 50ms.
- customBackoff [function] — A custom function that accepts a
retry count and error and returns the amount of time to delay in
milliseconds. If the result is a non-zero negative value, no further
retry attempts will be made. The
base
option will be ignored if this option is supplied. The function is only called for retryable errors.
-
httpOptions
(map)
—
A set of options to pass to the low-level HTTP request. Currently supported options are:
- proxy [String] — the URL to proxy requests through
- agent [http.Agent, https.Agent] — the Agent object to perform
HTTP requests with. Used for connection pooling. Defaults to the global
agent (
http.globalAgent
) for non-SSL connections. Note that for SSL connections, a special Agent object is used in order to enable peer certificate verification. This feature is only available in the Node.js environment. - connectTimeout [Integer] — Sets the socket to timeout after
failing to establish a connection with the server after
connectTimeout
milliseconds. This timeout has no effect once a socket connection has been established. - timeout [Integer] — Sets the socket to timeout after timeout milliseconds of inactivity on the socket. Defaults to two minutes (120000).
- xhrAsync [Boolean] — Whether the SDK will send asynchronous HTTP requests. Used in the browser environment only. Set to false to send requests synchronously. Defaults to true (async on).
- xhrWithCredentials [Boolean] — Sets the "withCredentials" property of an XMLHttpRequest object. Used in the browser environment only. Defaults to false.
-
apiVersion
(String, Date)
—
a String in YYYY-MM-DD format (or a date) that represents the latest possible API version that can be used in all services (unless overridden by
apiVersions
). Specify 'latest' to use the latest possible version. -
apiVersions
(map<String, String|Date>)
—
a map of service identifiers (the lowercase service class name) with the API version to use when instantiating a service. Specify 'latest' for each individual that can use the latest available version.
-
logger
(#write, #log)
—
an object that responds to .write() (like a stream) or .log() (like the console object) in order to log information about requests
-
systemClockOffset
(Number)
—
an offset value in milliseconds to apply to all signing times. Use this to compensate for clock skew when your system may be out of sync with the service time. Note that this configuration option can only be applied to the global
AWS.config
object and cannot be overridden in service-specific configuration. Defaults to 0 milliseconds. -
signatureVersion
(String)
—
the signature version to sign requests with (overriding the API configuration). Possible values are: 'v2', 'v3', 'v4'.
-
signatureCache
(Boolean)
—
whether the signature to sign requests with (overriding the API configuration) is cached. Only applies to the signature version 'v4'. Defaults to
true
. -
dynamoDbCrc32
(Boolean)
—
whether to validate the CRC32 checksum of HTTP response bodies returned by DynamoDB. Default:
true
. -
useAccelerateEndpoint
(Boolean)
—
Whether to use the S3 Transfer Acceleration endpoint with the S3 service. Default:
false
. -
clientSideMonitoring
(Boolean)
—
whether to collect and publish this client's performance metrics of all its API requests.
-
endpointDiscoveryEnabled
(Boolean|undefined)
—
whether to call operations with endpoints given by service dynamically. Setting this
-
endpointCacheSize
(Number)
—
the size of the global cache storing endpoints from endpoint discovery operations. Once endpoint cache is created, updating this setting cannot change existing cache size. Defaults to 1000
-
hostPrefixEnabled
(Boolean)
—
whether to marshal request parameters to the prefix of hostname. Defaults to
true
. -
stsRegionalEndpoints
('legacy'|'regional')
—
whether to send sts request to global endpoints or regional endpoints. Defaults to 'legacy'.
-
useFipsEndpoint
(Boolean)
—
Enables FIPS compatible endpoints. Defaults to
false
. -
useDualstackEndpoint
(Boolean)
—
Enables IPv6 dualstack endpoint. Defaults to
false
.
Property Details
Method Details
createCallAnalyticsCategory(params = {}, callback) ⇒ AWS.Request
Creates a new Call Analytics category.
All categories are automatically applied to your Call Analytics transcriptions. Note that in order to apply categories to your transcriptions, you must create them before submitting your transcription request, as categories cannot be applied retroactively.
When creating a new category, you can use the InputType
parameter to label the category as a POST_CALL
or a REAL_TIME
category. POST_CALL
categories can only be applied to post-call transcriptions and REAL_TIME
categories can only be applied to real-time transcriptions. If you do not include InputType
, your category is created as a POST_CALL
category by default.
Call Analytics categories are composed of rules. For each category, you must create between 1 and 20 rules. Rules can include these parameters: , , , and .
To update an existing category, see .
To learn more about Call Analytics categories, see Creating categories for post-call transcriptions and Creating categories for real-time transcriptions.
Service Reference:
Examples:
Calling the createCallAnalyticsCategory operation
var params = {
CategoryName: 'STRING_VALUE', /* required */
Rules: [ /* required */
{
InterruptionFilter: {
AbsoluteTimeRange: {
EndTime: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartTime: 'NUMBER_VALUE'
},
Negate: true || false,
ParticipantRole: AGENT | CUSTOMER,
RelativeTimeRange: {
EndPercentage: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartPercentage: 'NUMBER_VALUE'
},
Threshold: 'NUMBER_VALUE'
},
NonTalkTimeFilter: {
AbsoluteTimeRange: {
EndTime: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartTime: 'NUMBER_VALUE'
},
Negate: true || false,
RelativeTimeRange: {
EndPercentage: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartPercentage: 'NUMBER_VALUE'
},
Threshold: 'NUMBER_VALUE'
},
SentimentFilter: {
Sentiments: [ /* required */
POSITIVE | NEGATIVE | NEUTRAL | MIXED,
/* more items */
],
AbsoluteTimeRange: {
EndTime: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartTime: 'NUMBER_VALUE'
},
Negate: true || false,
ParticipantRole: AGENT | CUSTOMER,
RelativeTimeRange: {
EndPercentage: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartPercentage: 'NUMBER_VALUE'
}
},
TranscriptFilter: {
Targets: [ /* required */
'STRING_VALUE',
/* more items */
],
TranscriptFilterType: EXACT, /* required */
AbsoluteTimeRange: {
EndTime: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartTime: 'NUMBER_VALUE'
},
Negate: true || false,
ParticipantRole: AGENT | CUSTOMER,
RelativeTimeRange: {
EndPercentage: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartPercentage: 'NUMBER_VALUE'
}
}
},
/* more items */
],
InputType: REAL_TIME | POST_CALL
};
transcribeservice.createCallAnalyticsCategory(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
CategoryName
— (String
)A unique name, chosen by you, for your Call Analytics category. It's helpful to use a detailed naming system that will make sense to you in the future. For example, it's better to use
sentiment-positive-last30seconds
for a category over a generic name liketest-category
.Category names are case sensitive.
Rules
— (Array<map>
)Rules define a Call Analytics category. When creating a new category, you must create between 1 and 20 rules for that category. For each rule, you specify a filter you want applied to the attributes of a call. For example, you can choose a sentiment filter that detects if a customer's sentiment was positive during the last 30 seconds of the call.
NonTalkTimeFilter
— (map
)Flag the presence or absence of periods of silence in your Call Analytics transcription output. Refer to for more detail.
Threshold
— (Integer
)Specify the duration, in milliseconds, of the period of silence that you want to flag. For example, you can flag a silent period that lasts 30,000 milliseconds.
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for a period of silence. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for a period of silence. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
Negate
— (Boolean
)Set to
TRUE
to flag periods of speech. Set toFALSE
to flag periods of silence
InterruptionFilter
— (map
)Flag the presence or absence of interruptions in your Call Analytics transcription output. Refer to for more detail.
Threshold
— (Integer
)Specify the duration of the interruptions in milliseconds. For example, you can flag speech that contains more than 10,000 milliseconds of interruptions.
ParticipantRole
— (String
)Specify the interrupter that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for an interruption. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for an interruption. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
Negate
— (Boolean
)Set to
TRUE
to flag speech that does not contain interruptions. Set toFALSE
to flag speech that contains interruptions.
TranscriptFilter
— (map
)Flag the presence or absence of specific words or phrases in your Call Analytics transcription output. Refer to for more detail.
TranscriptFilterType
— required — (String
)Flag the presence or absence of an exact match to the phrases that you specify. For example, if you specify the phrase "speak to a manager" as your
Targets
value, only that exact phrase is flagged.Note that semantic matching is not supported. For example, if your customer says "speak to the manager", instead of "speak to a manager", your content is not flagged.
Possible values include:"EXACT"
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified key words or phrases. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified key words or phrases. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
ParticipantRole
— (String
)Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
Negate
— (Boolean
)Set to
TRUE
to flag the absence of the phrase that you specified in your request. Set toFALSE
to flag the presence of the phrase that you specified in your request.Targets
— required — (Array<String>
)Specify the phrases that you want to flag.
SentimentFilter
— (map
)Flag the presence or absence of specific sentiments in your Call Analytics transcription output. Refer to for more detail.
Sentiments
— required — (Array<String>
)Specify the sentiments that you want to flag.
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified sentiments. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified sentiments. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
ParticipantRole
— (String
)Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
Negate
— (Boolean
)Set to
TRUE
to flag the sentiments that you didn't include in your request. Set toFALSE
to flag the sentiments that you specified in your request.
InputType
— (String
)Choose whether you want to create a real-time or a post-call category for your Call Analytics transcription.
Specifying
POST_CALL
assigns your category to post-call transcriptions; categories with this input type cannot be applied to streaming (real-time) transcriptions.Specifying
REAL_TIME
assigns your category to streaming transcriptions; categories with this input type cannot be applied to post-call transcriptions.If you do not include
Possible values include:InputType
, your category is created as a post-call category by default."REAL_TIME"
"POST_CALL"
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:CategoryProperties
— (map
)Provides you with the properties of your new category, including its associated rules.
CategoryName
— (String
)The name of the Call Analytics category. Category names are case sensitive and must be unique within an Amazon Web Services account.
Rules
— (Array<map>
)The rules used to define a Call Analytics category. Each category can have between 1 and 20 rules.
NonTalkTimeFilter
— (map
)Flag the presence or absence of periods of silence in your Call Analytics transcription output. Refer to for more detail.
Threshold
— (Integer
)Specify the duration, in milliseconds, of the period of silence that you want to flag. For example, you can flag a silent period that lasts 30,000 milliseconds.
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for a period of silence. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for a period of silence. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
Negate
— (Boolean
)Set to
TRUE
to flag periods of speech. Set toFALSE
to flag periods of silence
InterruptionFilter
— (map
)Flag the presence or absence of interruptions in your Call Analytics transcription output. Refer to for more detail.
Threshold
— (Integer
)Specify the duration of the interruptions in milliseconds. For example, you can flag speech that contains more than 10,000 milliseconds of interruptions.
ParticipantRole
— (String
)Specify the interrupter that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for an interruption. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for an interruption. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
Negate
— (Boolean
)Set to
TRUE
to flag speech that does not contain interruptions. Set toFALSE
to flag speech that contains interruptions.
TranscriptFilter
— (map
)Flag the presence or absence of specific words or phrases in your Call Analytics transcription output. Refer to for more detail.
TranscriptFilterType
— required — (String
)Flag the presence or absence of an exact match to the phrases that you specify. For example, if you specify the phrase "speak to a manager" as your
Targets
value, only that exact phrase is flagged.Note that semantic matching is not supported. For example, if your customer says "speak to the manager", instead of "speak to a manager", your content is not flagged.
Possible values include:"EXACT"
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified key words or phrases. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified key words or phrases. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
ParticipantRole
— (String
)Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
Negate
— (Boolean
)Set to
TRUE
to flag the absence of the phrase that you specified in your request. Set toFALSE
to flag the presence of the phrase that you specified in your request.Targets
— required — (Array<String>
)Specify the phrases that you want to flag.
SentimentFilter
— (map
)Flag the presence or absence of specific sentiments in your Call Analytics transcription output. Refer to for more detail.
Sentiments
— required — (Array<String>
)Specify the sentiments that you want to flag.
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified sentiments. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified sentiments. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
ParticipantRole
— (String
)Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
Negate
— (Boolean
)Set to
TRUE
to flag the sentiments that you didn't include in your request. Set toFALSE
to flag the sentiments that you specified in your request.
CreateTime
— (Date
)The date and time the specified Call Analytics category was created.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.LastUpdateTime
— (Date
)The date and time the specified Call Analytics category was last updated.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-05T12:45:32.691000-07:00
represents 12:45 PM UTC-7 on May 5, 2022.InputType
— (String
)The input type associated with the specified category.
Possible values include:POST_CALL
refers to a category that is applied to batch transcriptions;REAL_TIME
refers to a category that is applied to streaming transcriptions."REAL_TIME"
"POST_CALL"
-
(AWS.Response)
—
Returns:
createLanguageModel(params = {}, callback) ⇒ AWS.Request
Creates a new custom language model.
When creating a new custom language model, you must specify:
-
If you want a Wideband (audio sample rates over 16,000 Hz) or Narrowband (audio sample rates under 16,000 Hz) base model
-
The location of your training and tuning files (this must be an Amazon S3 URI)
-
The language of your model
-
A unique name for your model
Service Reference:
Examples:
Calling the createLanguageModel operation
var params = {
BaseModelName: NarrowBand | WideBand, /* required */
InputDataConfig: { /* required */
DataAccessRoleArn: 'STRING_VALUE', /* required */
S3Uri: 'STRING_VALUE', /* required */
TuningDataS3Uri: 'STRING_VALUE'
},
LanguageCode: en-US | hi-IN | es-US | en-GB | en-AU | de-DE | ja-JP, /* required */
ModelName: 'STRING_VALUE', /* required */
Tags: [
{
Key: 'STRING_VALUE', /* required */
Value: 'STRING_VALUE' /* required */
},
/* more items */
]
};
transcribeservice.createLanguageModel(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
LanguageCode
— (String
)The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.
For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (
en-US
) is the only language supported with Amazon Transcribe Medical.A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (
Possible values include:en-US
), you can only apply this model to files that contain English audio."en-US"
"hi-IN"
"es-US"
"en-GB"
"en-AU"
"de-DE"
"ja-JP"
BaseModelName
— (String
)The Amazon Transcribe standard language model, or base model, used to create your custom language model. Amazon Transcribe offers two options for base models: Wideband and Narrowband.
If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose
Possible values include:WideBand
. To transcribe audio with a sample rate less than 16,000 Hz, chooseNarrowBand
."NarrowBand"
"WideBand"
ModelName
— (String
)A unique name, chosen by you, for your custom language model.
This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom language model with the same name as an existing custom language model, you get a
ConflictException
error.InputDataConfig
— (map
)Contains the Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.
When using
InputDataConfig
, you must include these sub-parameters:S3Uri
, which is the Amazon S3 location of your training data, andDataAccessRoleArn
, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally includeTuningDataS3Uri
, which is the Amazon S3 location of your tuning data. If you specify different Amazon S3 locations for training and tuning data, the ARN you use must have permissions to access both locations.S3Uri
— required — (String
)The Amazon S3 location (URI) of the text files you want to use to train your custom language model.
Here's an example URI path:
s3://DOC-EXAMPLE-BUCKET/my-model-training-data/
TuningDataS3Uri
— (String
)The Amazon S3 location (URI) of the text files you want to use to tune your custom language model.
Here's an example URI path:
s3://DOC-EXAMPLE-BUCKET/my-model-tuning-data/
DataAccessRoleArn
— required — (String
)The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.
IAM role ARNs have the format
arn:partition:iam::account:role/role-name-with-path
. For example:arn:aws:iam::111122223333:role/Admin
.For more information, see IAM ARNs.
Tags
— (Array<map>
)Adds one or more custom tags, each in the form of a key:value pair, to a new custom language model at the time you create this new model.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
Key
— required — (String
)The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the key is 'Department'.Value
— required — (String
)The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the value is 'Sales'.Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:LanguageCode
— (String
)The language code you selected for your custom language model.
Possible values include:"en-US"
"hi-IN"
"es-US"
"en-GB"
"en-AU"
"de-DE"
"ja-JP"
BaseModelName
— (String
)The Amazon Transcribe standard language model, or base model, you specified when creating your custom language model.
Possible values include:"NarrowBand"
"WideBand"
ModelName
— (String
)The name of your custom language model.
InputDataConfig
— (map
)Lists your data access role ARN (Amazon Resource Name) and the Amazon S3 locations you provided for your training (
S3Uri
) and tuning (TuningDataS3Uri
) data.S3Uri
— required — (String
)The Amazon S3 location (URI) of the text files you want to use to train your custom language model.
Here's an example URI path:
s3://DOC-EXAMPLE-BUCKET/my-model-training-data/
TuningDataS3Uri
— (String
)The Amazon S3 location (URI) of the text files you want to use to tune your custom language model.
Here's an example URI path:
s3://DOC-EXAMPLE-BUCKET/my-model-tuning-data/
DataAccessRoleArn
— required — (String
)The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.
IAM role ARNs have the format
arn:partition:iam::account:role/role-name-with-path
. For example:arn:aws:iam::111122223333:role/Admin
.For more information, see IAM ARNs.
ModelStatus
— (String
)The status of your custom language model. When the status displays as
Possible values include:COMPLETED
, your model is ready to use."IN_PROGRESS"
"FAILED"
"COMPLETED"
-
(AWS.Response)
—
Returns:
createMedicalVocabulary(params = {}, callback) ⇒ AWS.Request
Creates a new custom medical vocabulary.
Before creating a new custom medical vocabulary, you must first upload a text file that contains your vocabulary table into an Amazon S3 bucket. Note that this differs from , where you can include a list of terms within your request using the Phrases
flag; CreateMedicalVocabulary
does not support the Phrases
flag and only accepts vocabularies in table format.
Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.
For more information, see Custom vocabularies.
Service Reference:
Examples:
Calling the createMedicalVocabulary operation
var params = {
LanguageCode: af-ZA | ar-AE | ar-SA | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN | zh-TW | th-TH | en-ZA | en-NZ | vi-VN | sv-SE | ab-GE | ast-ES | az-AZ | ba-RU | be-BY | bg-BG | bn-IN | bs-BA | ca-ES | ckb-IQ | ckb-IR | cs-CZ | cy-WL | el-GR | et-ET | eu-ES | fi-FI | gl-ES | gu-IN | ha-NG | hr-HR | hu-HU | hy-AM | is-IS | ka-GE | kab-DZ | kk-KZ | kn-IN | ky-KG | lg-IN | lt-LT | lv-LV | mhr-RU | mi-NZ | mk-MK | ml-IN | mn-MN | mr-IN | mt-MT | no-NO | or-IN | pa-IN | pl-PL | ps-AF | ro-RO | rw-RW | si-LK | sk-SK | sl-SI | so-SO | sr-RS | su-ID | sw-BI | sw-KE | sw-RW | sw-TZ | sw-UG | tl-PH | tt-RU | ug-CN | uk-UA | uz-UZ | wo-SN | zu-ZA, /* required */
VocabularyFileUri: 'STRING_VALUE', /* required */
VocabularyName: 'STRING_VALUE', /* required */
Tags: [
{
Key: 'STRING_VALUE', /* required */
Value: 'STRING_VALUE' /* required */
},
/* more items */
]
};
transcribeservice.createMedicalVocabulary(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
VocabularyName
— (String
)A unique name, chosen by you, for your new custom medical vocabulary.
This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom medical vocabulary with the same name as an existing custom medical vocabulary, you get a
ConflictException
error.LanguageCode
— (String
)The language code that represents the language of the entries in your custom vocabulary. US English (
Possible values include:en-US
) is the only language supported with Amazon Transcribe Medical."af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
VocabularyFileUri
— (String
)The Amazon S3 location (URI) of the text file that contains your custom medical vocabulary. The URI must be in the same Amazon Web Services Region as the resource you're calling.
Here's an example URI path:
s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt
Tags
— (Array<map>
)Adds one or more custom tags, each in the form of a key:value pair, to a new custom medical vocabulary at the time you create this new custom vocabulary.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
Key
— required — (String
)The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the key is 'Department'.Value
— required — (String
)The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the value is 'Sales'.Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:VocabularyName
— (String
)The name you chose for your custom medical vocabulary.
LanguageCode
— (String
)The language code you selected for your custom medical vocabulary. US English (
Possible values include:en-US
) is the only language supported with Amazon Transcribe Medical."af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
VocabularyState
— (String
)The processing state of your custom medical vocabulary. If the state is
Possible values include:READY
, you can use the custom vocabulary in aStartMedicalTranscriptionJob
request."PENDING"
"READY"
"FAILED"
LastModifiedTime
— (Date
)The date and time you created your custom medical vocabulary.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.FailureReason
— (String
)If
VocabularyState
isFAILED
,FailureReason
contains information about why the medical transcription job request failed. See also: Common Errors.
-
(AWS.Response)
—
Returns:
createVocabulary(params = {}, callback) ⇒ AWS.Request
Creates a new custom vocabulary.
When creating a new custom vocabulary, you can either upload a text file that contains your new entries, phrases, and terms into an Amazon S3 bucket and include the URI in your request. Or you can include a list of terms directly in your request using the Phrases
flag.
Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.
For more information, see Custom vocabularies.
Service Reference:
Examples:
Calling the createVocabulary operation
var params = {
LanguageCode: af-ZA | ar-AE | ar-SA | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN | zh-TW | th-TH | en-ZA | en-NZ | vi-VN | sv-SE | ab-GE | ast-ES | az-AZ | ba-RU | be-BY | bg-BG | bn-IN | bs-BA | ca-ES | ckb-IQ | ckb-IR | cs-CZ | cy-WL | el-GR | et-ET | eu-ES | fi-FI | gl-ES | gu-IN | ha-NG | hr-HR | hu-HU | hy-AM | is-IS | ka-GE | kab-DZ | kk-KZ | kn-IN | ky-KG | lg-IN | lt-LT | lv-LV | mhr-RU | mi-NZ | mk-MK | ml-IN | mn-MN | mr-IN | mt-MT | no-NO | or-IN | pa-IN | pl-PL | ps-AF | ro-RO | rw-RW | si-LK | sk-SK | sl-SI | so-SO | sr-RS | su-ID | sw-BI | sw-KE | sw-RW | sw-TZ | sw-UG | tl-PH | tt-RU | ug-CN | uk-UA | uz-UZ | wo-SN | zu-ZA, /* required */
VocabularyName: 'STRING_VALUE', /* required */
DataAccessRoleArn: 'STRING_VALUE',
Phrases: [
'STRING_VALUE',
/* more items */
],
Tags: [
{
Key: 'STRING_VALUE', /* required */
Value: 'STRING_VALUE' /* required */
},
/* more items */
],
VocabularyFileUri: 'STRING_VALUE'
};
transcribeservice.createVocabulary(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
VocabularyName
— (String
)A unique name, chosen by you, for your new custom vocabulary.
This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom vocabulary with the same name as an existing custom vocabulary, you get a
ConflictException
error.LanguageCode
— (String
)The language code that represents the language of the entries in your custom vocabulary. Each custom vocabulary must contain terms in only one language.
A custom vocabulary can only be used to transcribe files in the same language as the custom vocabulary. For example, if you create a custom vocabulary using US English (
en-US
), you can only apply this custom vocabulary to files that contain English audio.For a list of supported languages and their associated language codes, refer to the Supported languages table.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
Phrases
— (Array<String>
)Use this parameter if you want to create your custom vocabulary by including all desired terms, as comma-separated values, within your request. The other option for creating your custom vocabulary is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the
VocabularyFileUri
parameter.Note that if you include
Phrases
in your request, you cannot useVocabularyFileUri
; you must choose one or the other.Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.
VocabularyFileUri
— (String
)The Amazon S3 location of the text file that contains your custom vocabulary. The URI must be located in the same Amazon Web Services Region as the resource you're calling.
Here's an example URI path:
s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt
Note that if you include
VocabularyFileUri
in your request, you cannot use thePhrases
flag; you must choose one or the other.Tags
— (Array<map>
)Adds one or more custom tags, each in the form of a key:value pair, to a new custom vocabulary at the time you create this new custom vocabulary.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
Key
— required — (String
)The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the key is 'Department'.Value
— required — (String
)The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the value is 'Sales'.Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
DataAccessRoleArn
— (String
)The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary). If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.
IAM role ARNs have the format
arn:partition:iam::account:role/role-name-with-path
. For example:arn:aws:iam::111122223333:role/Admin
.For more information, see IAM ARNs.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:VocabularyName
— (String
)The name you chose for your custom vocabulary.
LanguageCode
— (String
)The language code you selected for your custom vocabulary.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
VocabularyState
— (String
)The processing state of your custom vocabulary. If the state is
Possible values include:READY
, you can use the custom vocabulary in aStartTranscriptionJob
request."PENDING"
"READY"
"FAILED"
LastModifiedTime
— (Date
)The date and time you created your custom vocabulary.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.FailureReason
— (String
)If
VocabularyState
isFAILED
,FailureReason
contains information about why the custom vocabulary request failed. See also: Common Errors.
-
(AWS.Response)
—
Returns:
createVocabularyFilter(params = {}, callback) ⇒ AWS.Request
Creates a new custom vocabulary filter.
You can use custom vocabulary filters to mask, delete, or flag specific words from your transcript. Custom vocabulary filters are commonly used to mask profanity in transcripts.
Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.
For more information, see Vocabulary filtering.
Service Reference:
Examples:
Calling the createVocabularyFilter operation
var params = {
LanguageCode: af-ZA | ar-AE | ar-SA | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN | zh-TW | th-TH | en-ZA | en-NZ | vi-VN | sv-SE | ab-GE | ast-ES | az-AZ | ba-RU | be-BY | bg-BG | bn-IN | bs-BA | ca-ES | ckb-IQ | ckb-IR | cs-CZ | cy-WL | el-GR | et-ET | eu-ES | fi-FI | gl-ES | gu-IN | ha-NG | hr-HR | hu-HU | hy-AM | is-IS | ka-GE | kab-DZ | kk-KZ | kn-IN | ky-KG | lg-IN | lt-LT | lv-LV | mhr-RU | mi-NZ | mk-MK | ml-IN | mn-MN | mr-IN | mt-MT | no-NO | or-IN | pa-IN | pl-PL | ps-AF | ro-RO | rw-RW | si-LK | sk-SK | sl-SI | so-SO | sr-RS | su-ID | sw-BI | sw-KE | sw-RW | sw-TZ | sw-UG | tl-PH | tt-RU | ug-CN | uk-UA | uz-UZ | wo-SN | zu-ZA, /* required */
VocabularyFilterName: 'STRING_VALUE', /* required */
DataAccessRoleArn: 'STRING_VALUE',
Tags: [
{
Key: 'STRING_VALUE', /* required */
Value: 'STRING_VALUE' /* required */
},
/* more items */
],
VocabularyFilterFileUri: 'STRING_VALUE',
Words: [
'STRING_VALUE',
/* more items */
]
};
transcribeservice.createVocabularyFilter(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
VocabularyFilterName
— (String
)A unique name, chosen by you, for your new custom vocabulary filter.
This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom vocabulary filter with the same name as an existing custom vocabulary filter, you get a
ConflictException
error.LanguageCode
— (String
)The language code that represents the language of the entries in your vocabulary filter. Each custom vocabulary filter must contain terms in only one language.
A custom vocabulary filter can only be used to transcribe files in the same language as the filter. For example, if you create a custom vocabulary filter using US English (
en-US
), you can only apply this filter to files that contain English audio.For a list of supported languages and their associated language codes, refer to the Supported languages table.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
Words
— (Array<String>
)Use this parameter if you want to create your custom vocabulary filter by including all desired terms, as comma-separated values, within your request. The other option for creating your vocabulary filter is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the
VocabularyFilterFileUri
parameter.Note that if you include
Words
in your request, you cannot useVocabularyFilterFileUri
; you must choose one or the other.Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.
VocabularyFilterFileUri
— (String
)The Amazon S3 location of the text file that contains your custom vocabulary filter terms. The URI must be located in the same Amazon Web Services Region as the resource you're calling.
Here's an example URI path:
s3://DOC-EXAMPLE-BUCKET/my-vocab-filter-file.txt
Note that if you include
VocabularyFilterFileUri
in your request, you cannot useWords
; you must choose one or the other.Tags
— (Array<map>
)Adds one or more custom tags, each in the form of a key:value pair, to a new custom vocabulary filter at the time you create this new vocabulary filter.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
Key
— required — (String
)The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the key is 'Department'.Value
— required — (String
)The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the value is 'Sales'.Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
DataAccessRoleArn
— (String
)The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary filter). If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.
IAM role ARNs have the format
arn:partition:iam::account:role/role-name-with-path
. For example:arn:aws:iam::111122223333:role/Admin
.For more information, see IAM ARNs.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:VocabularyFilterName
— (String
)The name you chose for your custom vocabulary filter.
LanguageCode
— (String
)The language code you selected for your custom vocabulary filter.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
LastModifiedTime
— (Date
)The date and time you created your custom vocabulary filter.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.
-
(AWS.Response)
—
Returns:
deleteCallAnalyticsCategory(params = {}, callback) ⇒ AWS.Request
Deletes a Call Analytics category. To use this operation, specify the name of the category you want to delete using CategoryName
. Category names are case sensitive.
Service Reference:
Examples:
Calling the deleteCallAnalyticsCategory operation
var params = {
CategoryName: 'STRING_VALUE' /* required */
};
transcribeservice.deleteCallAnalyticsCategory(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
CategoryName
— (String
)The name of the Call Analytics category you want to delete. Category names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs.
-
(AWS.Response)
—
Returns:
deleteCallAnalyticsJob(params = {}, callback) ⇒ AWS.Request
Deletes a Call Analytics job. To use this operation, specify the name of the job you want to delete using CallAnalyticsJobName
. Job names are case sensitive.
Service Reference:
Examples:
Calling the deleteCallAnalyticsJob operation
var params = {
CallAnalyticsJobName: 'STRING_VALUE' /* required */
};
transcribeservice.deleteCallAnalyticsJob(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
CallAnalyticsJobName
— (String
)The name of the Call Analytics job you want to delete. Job names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs.
-
(AWS.Response)
—
Returns:
deleteLanguageModel(params = {}, callback) ⇒ AWS.Request
Deletes a custom language model. To use this operation, specify the name of the language model you want to delete using ModelName
. custom language model names are case sensitive.
Service Reference:
Examples:
Calling the deleteLanguageModel operation
var params = {
ModelName: 'STRING_VALUE' /* required */
};
transcribeservice.deleteLanguageModel(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
ModelName
— (String
)The name of the custom language model you want to delete. Model names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs.
-
(AWS.Response)
—
Returns:
deleteMedicalScribeJob(params = {}, callback) ⇒ AWS.Request
Deletes a Medical Scribe job. To use this operation, specify the name of the job you want to delete using MedicalScribeJobName
. Job names are case sensitive.
Service Reference:
Examples:
Calling the deleteMedicalScribeJob operation
var params = {
MedicalScribeJobName: 'STRING_VALUE' /* required */
};
transcribeservice.deleteMedicalScribeJob(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
MedicalScribeJobName
— (String
)The name of the Medical Scribe job you want to delete. Job names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs.
-
(AWS.Response)
—
Returns:
deleteMedicalTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Deletes a medical transcription job. To use this operation, specify the name of the job you want to delete using MedicalTranscriptionJobName
. Job names are case sensitive.
Service Reference:
Examples:
Calling the deleteMedicalTranscriptionJob operation
var params = {
MedicalTranscriptionJobName: 'STRING_VALUE' /* required */
};
transcribeservice.deleteMedicalTranscriptionJob(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
MedicalTranscriptionJobName
— (String
)The name of the medical transcription job you want to delete. Job names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs.
-
(AWS.Response)
—
Returns:
deleteMedicalVocabulary(params = {}, callback) ⇒ AWS.Request
Deletes a custom medical vocabulary. To use this operation, specify the name of the custom vocabulary you want to delete using VocabularyName
. Custom vocabulary names are case sensitive.
Service Reference:
Examples:
Calling the deleteMedicalVocabulary operation
var params = {
VocabularyName: 'STRING_VALUE' /* required */
};
transcribeservice.deleteMedicalVocabulary(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
VocabularyName
— (String
)The name of the custom medical vocabulary you want to delete. Custom medical vocabulary names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs.
-
(AWS.Response)
—
Returns:
deleteTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Deletes a transcription job. To use this operation, specify the name of the job you want to delete using TranscriptionJobName
. Job names are case sensitive.
Service Reference:
Examples:
Calling the deleteTranscriptionJob operation
var params = {
TranscriptionJobName: 'STRING_VALUE' /* required */
};
transcribeservice.deleteTranscriptionJob(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
TranscriptionJobName
— (String
)The name of the transcription job you want to delete. Job names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs.
-
(AWS.Response)
—
Returns:
deleteVocabulary(params = {}, callback) ⇒ AWS.Request
Deletes a custom vocabulary. To use this operation, specify the name of the custom vocabulary you want to delete using VocabularyName
. Custom vocabulary names are case sensitive.
Service Reference:
Examples:
Calling the deleteVocabulary operation
var params = {
VocabularyName: 'STRING_VALUE' /* required */
};
transcribeservice.deleteVocabulary(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
VocabularyName
— (String
)The name of the custom vocabulary you want to delete. Custom vocabulary names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs.
-
(AWS.Response)
—
Returns:
deleteVocabularyFilter(params = {}, callback) ⇒ AWS.Request
Deletes a custom vocabulary filter. To use this operation, specify the name of the custom vocabulary filter you want to delete using VocabularyFilterName
. Custom vocabulary filter names are case sensitive.
Service Reference:
Examples:
Calling the deleteVocabularyFilter operation
var params = {
VocabularyFilterName: 'STRING_VALUE' /* required */
};
transcribeservice.deleteVocabularyFilter(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to delete. Custom vocabulary filter names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs.
-
(AWS.Response)
—
Returns:
describeLanguageModel(params = {}, callback) ⇒ AWS.Request
Provides information about the specified custom language model.
This operation also shows if the base language model that you used to create your custom language model has been updated. If Amazon Transcribe has updated the base model, you can create a new custom language model using the updated base model.
If you tried to create a new custom language model and the request wasn't successful, you can use DescribeLanguageModel
to help identify the reason for this failure.
Service Reference:
Examples:
Calling the describeLanguageModel operation
var params = {
ModelName: 'STRING_VALUE' /* required */
};
transcribeservice.describeLanguageModel(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
ModelName
— (String
)The name of the custom language model you want information about. Model names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:LanguageModel
— (map
)Provides information about the specified custom language model.
This parameter also shows if the base language model you used to create your custom language model has been updated. If Amazon Transcribe has updated the base model, you can create a new custom language model using the updated base model.
If you tried to create a new custom language model and the request wasn't successful, you can use this
DescribeLanguageModel
to help identify the reason for this failure.ModelName
— (String
)A unique name, chosen by you, for your custom language model.
This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
CreateTime
— (Date
)The date and time the specified custom language model was created.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.LastModifiedTime
— (Date
)The date and time the specified custom language model was last modified.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.LanguageCode
— (String
)The language code used to create your custom language model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.
For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (
Possible values include:en-US
) is the only language supported with Amazon Transcribe Medical."en-US"
"hi-IN"
"es-US"
"en-GB"
"en-AU"
"de-DE"
"ja-JP"
BaseModelName
— (String
)The Amazon Transcribe standard language model, or base model, used to create your custom language model.
Possible values include:"NarrowBand"
"WideBand"
ModelStatus
— (String
)The status of the specified custom language model. When the status displays as
Possible values include:COMPLETED
the model is ready for use."IN_PROGRESS"
"FAILED"
"COMPLETED"
UpgradeAvailability
— (Boolean
)Shows if a more current base model is available for use with the specified custom language model.
If
false
, your custom language model is using the most up-to-date base model.If
true
, there is a newer base model available than the one your language model is using.Note that to update a base model, you must recreate the custom language model using the new base model. Base model upgrades for existing custom language models are not supported.
FailureReason
— (String
)If
ModelStatus
isFAILED
,FailureReason
contains information about why the custom language model request failed. See also: Common Errors.InputDataConfig
— (map
)The Amazon S3 location of the input files used to train and tune your custom language model, in addition to the data access role ARN (Amazon Resource Name) that has permissions to access these data.
S3Uri
— required — (String
)The Amazon S3 location (URI) of the text files you want to use to train your custom language model.
Here's an example URI path:
s3://DOC-EXAMPLE-BUCKET/my-model-training-data/
TuningDataS3Uri
— (String
)The Amazon S3 location (URI) of the text files you want to use to tune your custom language model.
Here's an example URI path:
s3://DOC-EXAMPLE-BUCKET/my-model-tuning-data/
DataAccessRoleArn
— required — (String
)The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.
IAM role ARNs have the format
arn:partition:iam::account:role/role-name-with-path
. For example:arn:aws:iam::111122223333:role/Admin
.For more information, see IAM ARNs.
-
(AWS.Response)
—
Returns:
getCallAnalyticsCategory(params = {}, callback) ⇒ AWS.Request
Provides information about the specified Call Analytics category.
To get a list of your Call Analytics categories, use the operation.
Service Reference:
Examples:
Calling the getCallAnalyticsCategory operation
var params = {
CategoryName: 'STRING_VALUE' /* required */
};
transcribeservice.getCallAnalyticsCategory(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
CategoryName
— (String
)The name of the Call Analytics category you want information about. Category names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:CategoryProperties
— (map
)Provides you with the properties of the Call Analytics category you specified in your
GetCallAnalyticsCategory
request.CategoryName
— (String
)The name of the Call Analytics category. Category names are case sensitive and must be unique within an Amazon Web Services account.
Rules
— (Array<map>
)The rules used to define a Call Analytics category. Each category can have between 1 and 20 rules.
NonTalkTimeFilter
— (map
)Flag the presence or absence of periods of silence in your Call Analytics transcription output. Refer to for more detail.
Threshold
— (Integer
)Specify the duration, in milliseconds, of the period of silence that you want to flag. For example, you can flag a silent period that lasts 30,000 milliseconds.
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for a period of silence. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for a period of silence. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
Negate
— (Boolean
)Set to
TRUE
to flag periods of speech. Set toFALSE
to flag periods of silence
InterruptionFilter
— (map
)Flag the presence or absence of interruptions in your Call Analytics transcription output. Refer to for more detail.
Threshold
— (Integer
)Specify the duration of the interruptions in milliseconds. For example, you can flag speech that contains more than 10,000 milliseconds of interruptions.
ParticipantRole
— (String
)Specify the interrupter that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for an interruption. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for an interruption. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
Negate
— (Boolean
)Set to
TRUE
to flag speech that does not contain interruptions. Set toFALSE
to flag speech that contains interruptions.
TranscriptFilter
— (map
)Flag the presence or absence of specific words or phrases in your Call Analytics transcription output. Refer to for more detail.
TranscriptFilterType
— required — (String
)Flag the presence or absence of an exact match to the phrases that you specify. For example, if you specify the phrase "speak to a manager" as your
Targets
value, only that exact phrase is flagged.Note that semantic matching is not supported. For example, if your customer says "speak to the manager", instead of "speak to a manager", your content is not flagged.
Possible values include:"EXACT"
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified key words or phrases. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified key words or phrases. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
ParticipantRole
— (String
)Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
Negate
— (Boolean
)Set to
TRUE
to flag the absence of the phrase that you specified in your request. Set toFALSE
to flag the presence of the phrase that you specified in your request.Targets
— required — (Array<String>
)Specify the phrases that you want to flag.
SentimentFilter
— (map
)Flag the presence or absence of specific sentiments in your Call Analytics transcription output. Refer to for more detail.
Sentiments
— required — (Array<String>
)Specify the sentiments that you want to flag.
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified sentiments. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified sentiments. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
ParticipantRole
— (String
)Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
Negate
— (Boolean
)Set to
TRUE
to flag the sentiments that you didn't include in your request. Set toFALSE
to flag the sentiments that you specified in your request.
CreateTime
— (Date
)The date and time the specified Call Analytics category was created.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.LastUpdateTime
— (Date
)The date and time the specified Call Analytics category was last updated.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-05T12:45:32.691000-07:00
represents 12:45 PM UTC-7 on May 5, 2022.InputType
— (String
)The input type associated with the specified category.
Possible values include:POST_CALL
refers to a category that is applied to batch transcriptions;REAL_TIME
refers to a category that is applied to streaming transcriptions."REAL_TIME"
"POST_CALL"
-
(AWS.Response)
—
Returns:
getCallAnalyticsJob(params = {}, callback) ⇒ AWS.Request
Provides information about the specified Call Analytics job.
To view the job's status, refer to CallAnalyticsJobStatus
. If the status is COMPLETED
, the job is finished. You can find your completed transcript at the URI specified in TranscriptFileUri
. If the status is FAILED
, FailureReason
provides details on why your transcription job failed.
If you enabled personally identifiable information (PII) redaction, the redacted transcript appears at the location specified in RedactedTranscriptFileUri
.
If you chose to redact the audio in your media file, you can find your redacted media file at the location specified in RedactedMediaFileUri
.
To get a list of your Call Analytics jobs, use the operation.
Service Reference:
Examples:
Calling the getCallAnalyticsJob operation
var params = {
CallAnalyticsJobName: 'STRING_VALUE' /* required */
};
transcribeservice.getCallAnalyticsJob(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
CallAnalyticsJobName
— (String
)The name of the Call Analytics job you want information about. Job names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:CallAnalyticsJob
— (map
)Provides detailed information about the specified Call Analytics job, including job status and, if applicable, failure reason.
CallAnalyticsJobName
— (String
)The name of the Call Analytics job. Job names are case sensitive and must be unique within an Amazon Web Services account.
CallAnalyticsJobStatus
— (String
)Provides the status of the specified Call Analytics job.
If the status is
Possible values include:COMPLETED
, the job is finished and you can find the results at the location specified inTranscriptFileUri
(orRedactedTranscriptFileUri
, if you requested transcript redaction). If the status isFAILED
,FailureReason
provides details on why your transcription job failed."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
CallAnalyticsJobDetails
— (map
)Provides detailed information about a call analytics job, including information about skipped analytics features.
Skipped
— (Array<map>
)Contains information about any skipped analytics features during the analysis of a call analytics job.
This array lists all the analytics features that were skipped, along with their corresponding reason code and message.
Feature
— (String
)Indicates the type of analytics feature that was skipped during the analysis of a call analytics job.
Possible values include:"GENERATIVE_SUMMARIZATION"
ReasonCode
— (String
)Provides a code indicating the reason why a specific analytics feature was skipped during the analysis of a call analytics job.
Possible values include:"INSUFFICIENT_CONVERSATION_CONTENT"
"FAILED_SAFETY_GUIDELINES"
Message
— (String
)Contains additional information or a message explaining why a specific analytics feature was skipped during the analysis of a call analytics job.
LanguageCode
— (String
)The language code used to create your Call Analytics job. For a list of supported languages and their associated language codes, refer to the Supported languages table.
If you do not know the language spoken in your media file, you can omit this field and let Amazon Transcribe automatically identify the language of your media. To improve the accuracy of language identification, you can include several language codes and Amazon Transcribe chooses the closest match for your transcription.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
MediaSampleRateHertz
— (Integer
)The sample rate, in hertz, of the audio track in your input media file.
MediaFormat
— (String
)The format of the input media file.
Possible values include:"mp3"
"mp4"
"wav"
"flac"
"ogg"
"amr"
"webm"
"m4a"
Media
— (map
)Provides the Amazon S3 location of the media file you used in your Call Analytics request.
MediaFileUri
— (String
)The Amazon S3 location of the media file you want to transcribe. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
-
RedactedMediaFileUri
— (String
)The Amazon S3 location of the media file you want to redact. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
RedactedMediaFileUri
produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob
) transcription requests.-
Transcript
— (map
)Provides you with the Amazon S3 URI you can use to access your transcript.
TranscriptFileUri
— (String
)The Amazon S3 location of your transcript. You can use this URI to access or download your transcript.
If you included
OutputBucketName
in your transcription job request, this is the URI of that bucket. If you also includedOutputKey
in your request, your output is located in the path you specified in your request.If you didn't include
OutputBucketName
in your transcription job request, your transcript is stored in a service-managed bucket, andTranscriptFileUri
provides you with a temporary URI you can use for secure access to your transcript.Note: Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get anAccesDenied
error, you can get a new temporary URI by running aGetTranscriptionJob
orListTranscriptionJob
request.RedactedTranscriptFileUri
— (String
)The Amazon S3 location of your redacted transcript. You can use this URI to access or download your transcript.
If you included
OutputBucketName
in your transcription job request, this is the URI of that bucket. If you also includedOutputKey
in your request, your output is located in the path you specified in your request.If you didn't include
OutputBucketName
in your transcription job request, your transcript is stored in a service-managed bucket, andRedactedTranscriptFileUri
provides you with a temporary URI you can use for secure access to your transcript.Note: Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get anAccesDenied
error, you can get a new temporary URI by running aGetTranscriptionJob
orListTranscriptionJob
request.
StartTime
— (Date
)The date and time the specified Call Analytics job began processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.789000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.CreationTime
— (Date
)The date and time the specified Call Analytics job request was made.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.CompletionTime
— (Date
)The date and time the specified Call Analytics job finished processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:33:13.922000-07:00
represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.FailureReason
— (String
)If
CallAnalyticsJobStatus
isFAILED
,FailureReason
contains information about why the Call Analytics job request failed.The
FailureReason
field contains one of the following values:-
Unsupported media format
.The media format specified in
MediaFormat
isn't valid. Refer to refer to theMediaFormat
parameter for a list of supported formats. -
The media format provided does not match the detected media format
.The media format specified in
MediaFormat
doesn't match the format of the input file. Check the media format of your media file and correct the specified value. -
Invalid sample rate for audio file
.The sample rate specified in
MediaSampleRateHertz
isn't valid. The sample rate must be between 8,000 and 48,000 hertz. -
The sample rate provided does not match the detected sample rate
.The sample rate specified in
MediaSampleRateHertz
doesn't match the sample rate detected in your input media file. Check the sample rate of your media file and correct the specified value. -
Invalid file size: file size too large
.The size of your media file is larger than what Amazon Transcribe can process. For more information, refer to Service quotas.
-
Invalid number of channels: number of channels too large
.Your audio contains more channels than Amazon Transcribe is able to process. For more information, refer to Service quotas.
-
DataAccessRoleArn
— (String
)The Amazon Resource Name (ARN) you included in your request.
IdentifiedLanguageScore
— (Float
)The confidence score associated with the language identified in your media file.
Confidence scores are values between 0 and 1; a larger value indicates a higher probability that the identified language correctly matches the language spoken in your media.
Settings
— (map
)Provides information on any additional settings that were included in your request. Additional settings include content redaction and language identification settings.
VocabularyName
— (String
)The name of the custom vocabulary you want to include in your Call Analytics transcription request. Custom vocabulary names are case sensitive.
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to include in your Call Analytics transcription request. Custom vocabulary filter names are case sensitive.
Note that if you include
VocabularyFilterName
in your request, you must also includeVocabularyFilterMethod
.VocabularyFilterMethod
— (String
)Specify how you want your custom vocabulary filter applied to your transcript.
To replace words with
***
, choosemask
.To delete words, choose
remove
.To flag words without changing them, choose
Possible values include:tag
."remove"
"mask"
"tag"
LanguageModelName
— (String
)The name of the custom language model you want to use when processing your Call Analytics job. Note that custom language model names are case sensitive.
The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
ContentRedaction
— (map
)Makes it possible to redact or flag specified personally identifiable information (PII) in your transcript. If you use
ContentRedaction
, you must also include the sub-parameters:RedactionOutput
andRedactionType
. You can optionally includePiiEntityTypes
to choose which types of PII you want to redact.RedactionType
— required — (String
)Specify the category of information you want to redact;
Possible values include:PII
(personally identifiable information) is the only valid value. You can usePiiEntityTypes
to choose which types of PII you want to redact. If you do not includePiiEntityTypes
in your request, all PII is redacted."PII"
RedactionOutput
— required — (String
)Specify if you want only a redacted transcript, or if you want a redacted and an unredacted transcript.
When you choose
redacted
Amazon Transcribe creates only a redacted transcript.When you choose
Possible values include:redacted_and_unredacted
Amazon Transcribe creates a redacted and an unredacted transcript (as two separate files)."redacted"
"redacted_and_unredacted"
PiiEntityTypes
— (Array<String>
)Specify which types of personally identifiable information (PII) you want to redact in your transcript. You can include as many types as you'd like, or you can select
ALL
. If you do not includePiiEntityTypes
in your request, all PII is redacted.
LanguageOptions
— (Array<String>
)You can specify two or more language codes that represent the languages you think may be present in your media. Including more than five is not recommended. If you're unsure what languages are present, do not include this parameter.
Including language options can improve the accuracy of language identification.
For a list of languages supported with Call Analytics, refer to the Supported languages table.
To transcribe speech in Modern Standard Arabic (
ar-SA
), your media file must be encoded at a sample rate of 16,000 Hz or higher.LanguageIdSettings
— (map<map>
)If using automatic language identification in your request and you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter, include
LanguageIdSettings
with the relevant sub-parameters (VocabularyName
,LanguageModelName
, andVocabularyFilterName
).LanguageIdSettings
supports two to five language codes. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The language codes that you specify must match the languages of the associated custom language models, custom vocabularies, and custom vocabulary filters.It's recommended that you include
LanguageOptions
when usingLanguageIdSettings
to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is inen-US
but Amazon Transcribe determines that the language spoken in your media isen-AU
, your custom vocabulary is not applied to your transcription. If you includeLanguageOptions
and includeen-US
as the only English language dialect, your custom vocabulary is applied to your transcription.If you want to include a custom language model, custom vocabulary, or custom vocabulary filter with your request but do not want to use automatic language identification, use instead the
parameter with the
LanguageModelName
,VocabularyName
, orVocabularyFilterName
sub-parameters.For a list of languages supported with Call Analytics, refer to Supported languages and language-specific features.
VocabularyName
— (String
)The name of the custom vocabulary you want to use when processing your transcription job. Custom vocabulary names are case sensitive.
The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch.
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to use when processing your transcription job. Custom vocabulary filter names are case sensitive.
The language of the specified custom vocabulary filter must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary filter isn't applied. There are no errors or warnings associated with a language mismatch.
Note that if you include
VocabularyFilterName
in your request, you must also includeVocabularyFilterMethod
.LanguageModelName
— (String
)The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive.
The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
Summarization
— (map
)Contains
GenerateAbstractiveSummary
, which is a required parameter if you want to enable Generative call summarization in your Call Analytics request.GenerateAbstractiveSummary
— required — (Boolean
)Enables Generative call summarization in your Call Analytics request
Generative call summarization provides a summary of the transcript including important components discussed in the conversation.
For more information, see Enabling generative call summarization.
ChannelDefinitions
— (Array<map>
)Indicates which speaker is on which channel.
ChannelId
— (Integer
)Specify the audio channel you want to define.
ParticipantRole
— (String
)Specify the speaker you want to define. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
-
(AWS.Response)
—
Returns:
getMedicalScribeJob(params = {}, callback) ⇒ AWS.Request
Provides information about the specified Medical Scribe job.
To view the status of the specified medical transcription job, check the MedicalScribeJobStatus
field. If the status is COMPLETED
, the job is finished. You can find the results at the location specified in MedicalScribeOutput
. If the status is FAILED
, FailureReason
provides details on why your Medical Scribe job failed.
To get a list of your Medical Scribe jobs, use the operation.
Service Reference:
Examples:
Calling the getMedicalScribeJob operation
var params = {
MedicalScribeJobName: 'STRING_VALUE' /* required */
};
transcribeservice.getMedicalScribeJob(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
MedicalScribeJobName
— (String
)The name of the Medical Scribe job you want information about. Job names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:MedicalScribeJob
— (map
)Provides detailed information about the specified Medical Scribe job, including job status and, if applicable, failure reason
MedicalScribeJobName
— (String
)The name of the Medical Scribe job. Job names are case sensitive and must be unique within an Amazon Web Services account.
MedicalScribeJobStatus
— (String
)Provides the status of the specified Medical Scribe job.
If the status is
Possible values include:COMPLETED
, the job is finished and you can find the results at the location specified inMedicalScribeOutput
If the status isFAILED
,FailureReason
provides details on why your Medical Scribe job failed."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
LanguageCode
— (String
)The language code used to create your Medical Scribe job. US English (
Possible values include:en-US
) is the only supported language for Medical Scribe jobs."en-US"
Media
— (map
)Describes the Amazon S3 location of the media file you want to use in your request.
For information on supported media formats, refer to the
MediaFormat
parameter or the Media formats section in the Amazon S3 Developer Guide.MediaFileUri
— (String
)The Amazon S3 location of the media file you want to transcribe. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
-
RedactedMediaFileUri
— (String
)The Amazon S3 location of the media file you want to redact. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
RedactedMediaFileUri
produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob
) transcription requests.-
MedicalScribeOutput
— (map
)The location of the output of your Medical Scribe job.
ClinicalDocumentUri
holds the Amazon S3 URI for the Clinical Document andTranscriptFileUri
holds the Amazon S3 URI for the Transcript.TranscriptFileUri
— required — (String
)Holds the Amazon S3 URI for the Transcript.
ClinicalDocumentUri
— required — (String
)Holds the Amazon S3 URI for the Clinical Document.
StartTime
— (Date
)The date and time your Medical Scribe job began processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.789000-07:00
represents a Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.CreationTime
— (Date
)The date and time the specified Medical Scribe job request was made.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents a Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.CompletionTime
— (Date
)The date and time the specified Medical Scribe job finished processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents a Medical Scribe job that finished processing at 12:32 PM UTC-7 on May 4, 2022.FailureReason
— (String
)If
MedicalScribeJobStatus
isFAILED
,FailureReason
contains information about why the transcription job failed. See also: Common Errors.Settings
— (map
)Makes it possible to control how your Medical Scribe job is processed using a
MedicalScribeSettings
object. SpecifyChannelIdentification
ifChannelDefinitions
are set. EnabledShowSpeakerLabels
ifChannelIdentification
andChannelDefinitions
are not set. One and only one ofChannelIdentification
andShowSpeakerLabels
must be set. IfShowSpeakerLabels
is set,MaxSpeakerLabels
must also be set. UseSettings
to specify a vocabulary or vocabulary filter or both usingVocabularyName
,VocabularyFilterName
.VocabularyFilterMethod
must be specified ifVocabularyFilterName
is set.ShowSpeakerLabels
— (Boolean
)Enables speaker partitioning (diarization) in your Medical Scribe output. Speaker partitioning labels the speech from individual speakers in your media file.
If you enable
ShowSpeakerLabels
in your request, you must also includeMaxSpeakerLabels
.For more information, see Partitioning speakers (diarization).
MaxSpeakerLabels
— (Integer
)Specify the maximum number of speakers you want to partition in your media.
Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.
If you specify the
MaxSpeakerLabels
field, you must set theShowSpeakerLabels
field to true.ChannelIdentification
— (Boolean
)Enables channel identification in multi-channel audio.
Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.
For more information, see Transcribing multi-channel audio.
VocabularyName
— (String
)The name of the custom vocabulary you want to include in your Medical Scribe request. Custom vocabulary names are case sensitive.
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to include in your Medical Scribe request. Custom vocabulary filter names are case sensitive.
Note that if you include
VocabularyFilterName
in your request, you must also includeVocabularyFilterMethod
.VocabularyFilterMethod
— (String
)Specify how you want your custom vocabulary filter applied to your transcript.
To replace words with
***
, choosemask
.To delete words, choose
remove
.To flag words without changing them, choose
Possible values include:tag
."remove"
"mask"
"tag"
DataAccessRoleArn
— (String
)The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files, write to the output bucket, and use your KMS key if supplied. If the role that you specify doesn’t have the appropriate permissions your request fails.
IAM role ARNs have the format
arn:partition:iam::account:role/role-name-with-path
. For example:arn:aws:iam::111122223333:role/Admin
.For more information, see IAM ARNs.
ChannelDefinitions
— (Array<map>
)Makes it possible to specify which speaker is on which channel. For example, if the clinician is the first participant to speak, you would set
ChannelId
of the firstChannelDefinition
in the list to0
(to indicate the first channel) andParticipantRole
toCLINICIAN
(to indicate that it's the clinician speaking). Then you would set theChannelId
of the secondChannelDefinition
in the list to1
(to indicate the second channel) andParticipantRole
toPATIENT
(to indicate that it's the patient speaking).ChannelId
— required — (Integer
)Specify the audio channel you want to define.
ParticipantRole
— required — (String
)Specify the participant that you want to flag. The options are
Possible values include:CLINICIAN
andPATIENT
"PATIENT"
"CLINICIAN"
Tags
— (Array<map>
)Adds one or more custom tags, each in the form of a key:value pair, to the Medica Scribe job.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
Key
— required — (String
)The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the key is 'Department'.Value
— required — (String
)The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the value is 'Sales'.Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
-
(AWS.Response)
—
Returns:
getMedicalTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Provides information about the specified medical transcription job.
To view the status of the specified medical transcription job, check the TranscriptionJobStatus
field. If the status is COMPLETED
, the job is finished. You can find the results at the location specified in TranscriptFileUri
. If the status is FAILED
, FailureReason
provides details on why your transcription job failed.
To get a list of your medical transcription jobs, use the operation.
Service Reference:
Examples:
Calling the getMedicalTranscriptionJob operation
var params = {
MedicalTranscriptionJobName: 'STRING_VALUE' /* required */
};
transcribeservice.getMedicalTranscriptionJob(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
MedicalTranscriptionJobName
— (String
)The name of the medical transcription job you want information about. Job names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:MedicalTranscriptionJob
— (map
)Provides detailed information about the specified medical transcription job, including job status and, if applicable, failure reason.
MedicalTranscriptionJobName
— (String
)The name of the medical transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.
TranscriptionJobStatus
— (String
)Provides the status of the specified medical transcription job.
If the status is
Possible values include:COMPLETED
, the job is finished and you can find the results at the location specified inTranscriptFileUri
. If the status isFAILED
,FailureReason
provides details on why your transcription job failed."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
LanguageCode
— (String
)The language code used to create your medical transcription job. US English (
Possible values include:en-US
) is the only supported language for medical transcriptions."af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
MediaSampleRateHertz
— (Integer
)The sample rate, in hertz, of the audio track in your input media file.
MediaFormat
— (String
)The format of the input media file.
Possible values include:"mp3"
"mp4"
"wav"
"flac"
"ogg"
"amr"
"webm"
"m4a"
Media
— (map
)Describes the Amazon S3 location of the media file you want to use in your request.
For information on supported media formats, refer to the
MediaFormat
parameter or the Media formats section in the Amazon S3 Developer Guide.MediaFileUri
— (String
)The Amazon S3 location of the media file you want to transcribe. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
-
RedactedMediaFileUri
— (String
)The Amazon S3 location of the media file you want to redact. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
RedactedMediaFileUri
produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob
) transcription requests.-
Transcript
— (map
)Provides you with the Amazon S3 URI you can use to access your transcript.
TranscriptFileUri
— (String
)The Amazon S3 location of your transcript. You can use this URI to access or download your transcript.
Note that this is the Amazon S3 location you specified in your request using the
OutputBucketName
parameter.
StartTime
— (Date
)The date and time the specified medical transcription job began processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.789000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.CreationTime
— (Date
)The date and time the specified medical transcription job request was made.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.CompletionTime
— (Date
)The date and time the specified medical transcription job finished processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:33:13.922000-07:00
represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.FailureReason
— (String
)If
TranscriptionJobStatus
isFAILED
,FailureReason
contains information about why the transcription job request failed.The
FailureReason
field contains one of the following values:-
Unsupported media format
.The media format specified in
MediaFormat
isn't valid. Refer to refer to theMediaFormat
parameter for a list of supported formats. -
The media format provided does not match the detected media format
.The media format specified in
MediaFormat
doesn't match the format of the input file. Check the media format of your media file and correct the specified value. -
Invalid sample rate for audio file
.The sample rate specified in
MediaSampleRateHertz
isn't valid. The sample rate must be between 16,000 and 48,000 hertz. -
The sample rate provided does not match the detected sample rate
.The sample rate specified in
MediaSampleRateHertz
doesn't match the sample rate detected in your input media file. Check the sample rate of your media file and correct the specified value. -
Invalid file size: file size too large
.The size of your media file is larger than what Amazon Transcribe can process. For more information, refer to Service quotas.
-
Invalid number of channels: number of channels too large
.Your audio contains more channels than Amazon Transcribe is able to process. For more information, refer to Service quotas.
-
Settings
— (map
)Provides information on any additional settings that were included in your request. Additional settings include channel identification, alternative transcriptions, speaker partitioning, custom vocabularies, and custom vocabulary filters.
ShowSpeakerLabels
— (Boolean
)Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.
If you enable
ShowSpeakerLabels
in your request, you must also includeMaxSpeakerLabels
.For more information, see Partitioning speakers (diarization).
MaxSpeakerLabels
— (Integer
)Specify the maximum number of speakers you want to partition in your media.
Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.
If you specify the
MaxSpeakerLabels
field, you must set theShowSpeakerLabels
field to true.ChannelIdentification
— (Boolean
)Enables channel identification in multi-channel audio.
Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.
If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript does not separate the speech by channel.
For more information, see Transcribing multi-channel audio.
ShowAlternatives
— (Boolean
)To include alternative transcriptions within your transcription output, include
ShowAlternatives
in your transcription request.If you include
ShowAlternatives
, you must also includeMaxAlternatives
, which is the maximum number of alternative transcriptions you want Amazon Transcribe Medical to generate.For more information, see Alternative transcriptions.
MaxAlternatives
— (Integer
)Indicate the maximum number of alternative transcriptions you want Amazon Transcribe Medical to include in your transcript.
If you select a number greater than the number of alternative transcriptions generated by Amazon Transcribe Medical, only the actual number of alternative transcriptions are included.
If you include
MaxAlternatives
in your request, you must also includeShowAlternatives
with a value oftrue
.For more information, see Alternative transcriptions.
VocabularyName
— (String
)The name of the custom vocabulary you want to use when processing your medical transcription job. Custom vocabulary names are case sensitive.
The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch. US English (
en-US
) is the only valid language for Amazon Transcribe Medical.
ContentIdentificationType
— (String
)Indicates whether content identification was enabled for your transcription request.
Possible values include:"PHI"
Specialty
— (String
)Describes the medical specialty represented in your media.
Possible values include:"PRIMARYCARE"
Type
— (String
)Indicates whether the input media is a dictation or a conversation, as specified in the
Possible values include:StartMedicalTranscriptionJob
request."CONVERSATION"
"DICTATION"
Tags
— (Array<map>
)The tags, each in the form of a key:value pair, assigned to the specified medical transcription job.
Key
— required — (String
)The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the key is 'Department'.Value
— required — (String
)The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the value is 'Sales'.Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
-
(AWS.Response)
—
Returns:
getMedicalVocabulary(params = {}, callback) ⇒ AWS.Request
Provides information about the specified custom medical vocabulary.
To view the status of the specified custom medical vocabulary, check the VocabularyState
field. If the status is READY
, your custom vocabulary is available to use. If the status is FAILED
, FailureReason
provides details on why your vocabulary failed.
To get a list of your custom medical vocabularies, use the operation.
Service Reference:
Examples:
Calling the getMedicalVocabulary operation
var params = {
VocabularyName: 'STRING_VALUE' /* required */
};
transcribeservice.getMedicalVocabulary(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
VocabularyName
— (String
)The name of the custom medical vocabulary you want information about. Custom medical vocabulary names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:VocabularyName
— (String
)The name of the custom medical vocabulary you requested information about.
LanguageCode
— (String
)The language code you selected for your custom medical vocabulary. US English (
Possible values include:en-US
) is the only language supported with Amazon Transcribe Medical."af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
VocabularyState
— (String
)The processing state of your custom medical vocabulary. If the state is
Possible values include:READY
, you can use the custom vocabulary in aStartMedicalTranscriptionJob
request."PENDING"
"READY"
"FAILED"
LastModifiedTime
— (Date
)The date and time the specified custom medical vocabulary was last modified.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.FailureReason
— (String
)If
VocabularyState
isFAILED
,FailureReason
contains information about why the custom medical vocabulary request failed. See also: Common Errors.DownloadUri
— (String
)The Amazon S3 location where the specified custom medical vocabulary is stored; use this URI to view or download the custom vocabulary.
-
(AWS.Response)
—
Returns:
getTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Provides information about the specified transcription job.
To view the status of the specified transcription job, check the TranscriptionJobStatus
field. If the status is COMPLETED
, the job is finished. You can find the results at the location specified in TranscriptFileUri
. If the status is FAILED
, FailureReason
provides details on why your transcription job failed.
If you enabled content redaction, the redacted transcript can be found at the location specified in RedactedTranscriptFileUri
.
To get a list of your transcription jobs, use the operation.
Service Reference:
Examples:
Calling the getTranscriptionJob operation
var params = {
TranscriptionJobName: 'STRING_VALUE' /* required */
};
transcribeservice.getTranscriptionJob(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
TranscriptionJobName
— (String
)The name of the transcription job you want information about. Job names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:TranscriptionJob
— (map
)Provides detailed information about the specified transcription job, including job status and, if applicable, failure reason.
TranscriptionJobName
— (String
)The name of the transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.
TranscriptionJobStatus
— (String
)Provides the status of the specified transcription job.
If the status is
Possible values include:COMPLETED
, the job is finished and you can find the results at the location specified inTranscriptFileUri
(orRedactedTranscriptFileUri
, if you requested transcript redaction). If the status isFAILED
,FailureReason
provides details on why your transcription job failed."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
LanguageCode
— (String
)The language code used to create your transcription job. This parameter is used with single-language identification. For multi-language identification requests, refer to the plural version of this parameter,
Possible values include:LanguageCodes
."af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
MediaSampleRateHertz
— (Integer
)The sample rate, in hertz, of the audio track in your input media file.
MediaFormat
— (String
)The format of the input media file.
Possible values include:"mp3"
"mp4"
"wav"
"flac"
"ogg"
"amr"
"webm"
"m4a"
Media
— (map
)Provides the Amazon S3 location of the media file you used in your request.
MediaFileUri
— (String
)The Amazon S3 location of the media file you want to transcribe. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
-
RedactedMediaFileUri
— (String
)The Amazon S3 location of the media file you want to redact. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
RedactedMediaFileUri
produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob
) transcription requests.-
Transcript
— (map
)Provides you with the Amazon S3 URI you can use to access your transcript.
TranscriptFileUri
— (String
)The Amazon S3 location of your transcript. You can use this URI to access or download your transcript.
If you included
OutputBucketName
in your transcription job request, this is the URI of that bucket. If you also includedOutputKey
in your request, your output is located in the path you specified in your request.If you didn't include
OutputBucketName
in your transcription job request, your transcript is stored in a service-managed bucket, andTranscriptFileUri
provides you with a temporary URI you can use for secure access to your transcript.Note: Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get anAccesDenied
error, you can get a new temporary URI by running aGetTranscriptionJob
orListTranscriptionJob
request.RedactedTranscriptFileUri
— (String
)The Amazon S3 location of your redacted transcript. You can use this URI to access or download your transcript.
If you included
OutputBucketName
in your transcription job request, this is the URI of that bucket. If you also includedOutputKey
in your request, your output is located in the path you specified in your request.If you didn't include
OutputBucketName
in your transcription job request, your transcript is stored in a service-managed bucket, andRedactedTranscriptFileUri
provides you with a temporary URI you can use for secure access to your transcript.Note: Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get anAccesDenied
error, you can get a new temporary URI by running aGetTranscriptionJob
orListTranscriptionJob
request.
StartTime
— (Date
)The date and time the specified transcription job began processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.789000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.CreationTime
— (Date
)The date and time the specified transcription job request was made.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.CompletionTime
— (Date
)The date and time the specified transcription job finished processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:33:13.922000-07:00
represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.FailureReason
— (String
)If
TranscriptionJobStatus
isFAILED
,FailureReason
contains information about why the transcription job request failed.The
FailureReason
field contains one of the following values:-
Unsupported media format
.The media format specified in
MediaFormat
isn't valid. Refer to refer to theMediaFormat
parameter for a list of supported formats. -
The media format provided does not match the detected media format
.The media format specified in
MediaFormat
doesn't match the format of the input file. Check the media format of your media file and correct the specified value. -
Invalid sample rate for audio file
.The sample rate specified in
MediaSampleRateHertz
isn't valid. The sample rate must be between 8,000 and 48,000 hertz. -
The sample rate provided does not match the detected sample rate
.The sample rate specified in
MediaSampleRateHertz
doesn't match the sample rate detected in your input media file. Check the sample rate of your media file and correct the specified value. -
Invalid file size: file size too large
.The size of your media file is larger than what Amazon Transcribe can process. For more information, refer to Service quotas.
-
Invalid number of channels: number of channels too large
.Your audio contains more channels than Amazon Transcribe is able to process. For more information, refer to Service quotas.
-
Settings
— (map
)Provides information on any additional settings that were included in your request. Additional settings include channel identification, alternative transcriptions, speaker partitioning, custom vocabularies, and custom vocabulary filters.
VocabularyName
— (String
)The name of the custom vocabulary you want to use in your transcription job request. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
ShowSpeakerLabels
— (Boolean
)Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.
If you enable
ShowSpeakerLabels
in your request, you must also includeMaxSpeakerLabels
.For more information, see Partitioning speakers (diarization).
MaxSpeakerLabels
— (Integer
)Specify the maximum number of speakers you want to partition in your media.
Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.
If you specify the
MaxSpeakerLabels
field, you must set theShowSpeakerLabels
field to true.ChannelIdentification
— (Boolean
)Enables channel identification in multi-channel audio.
Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.
For more information, see Transcribing multi-channel audio.
ShowAlternatives
— (Boolean
)To include alternative transcriptions within your transcription output, include
ShowAlternatives
in your transcription request.If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript does not separate the speech by channel.
If you include
ShowAlternatives
, you must also includeMaxAlternatives
, which is the maximum number of alternative transcriptions you want Amazon Transcribe to generate.For more information, see Alternative transcriptions.
MaxAlternatives
— (Integer
)Indicate the maximum number of alternative transcriptions you want Amazon Transcribe to include in your transcript.
If you select a number greater than the number of alternative transcriptions generated by Amazon Transcribe, only the actual number of alternative transcriptions are included.
If you include
MaxAlternatives
in your request, you must also includeShowAlternatives
with a value oftrue
.For more information, see Alternative transcriptions.
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to use in your transcription job request. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
Note that if you include
VocabularyFilterName
in your request, you must also includeVocabularyFilterMethod
.VocabularyFilterMethod
— (String
)Specify how you want your custom vocabulary filter applied to your transcript.
To replace words with
***
, choosemask
.To delete words, choose
remove
.To flag words without changing them, choose
Possible values include:tag
."remove"
"mask"
"tag"
ModelSettings
— (map
)Provides information on the custom language model you included in your request.
LanguageModelName
— (String
)The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive.
The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
JobExecutionSettings
— (map
)Provides information about how your transcription job was processed. This parameter shows if your request was queued and what data access role was used.
AllowDeferredExecution
— (Boolean
)Makes it possible to enable job queuing when your concurrent request limit is exceeded. When
AllowDeferredExecution
is set totrue
, transcription job requests are placed in a queue until the number of jobs falls below the concurrent request limit. IfAllowDeferredExecution
is set tofalse
and the number of transcription job requests exceed the concurrent request limit, you get aLimitExceededException
error.If you include
AllowDeferredExecution
in your request, you must also includeDataAccessRoleArn
.DataAccessRoleArn
— (String
)The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.
IAM role ARNs have the format
arn:partition:iam::account:role/role-name-with-path
. For example:arn:aws:iam::111122223333:role/Admin
. For more information, see IAM ARNs.Note that if you include
DataAccessRoleArn
in your request, you must also includeAllowDeferredExecution
.
ContentRedaction
— (map
)Indicates whether redaction was enabled in your transcript.
RedactionType
— required — (String
)Specify the category of information you want to redact;
Possible values include:PII
(personally identifiable information) is the only valid value. You can usePiiEntityTypes
to choose which types of PII you want to redact. If you do not includePiiEntityTypes
in your request, all PII is redacted."PII"
RedactionOutput
— required — (String
)Specify if you want only a redacted transcript, or if you want a redacted and an unredacted transcript.
When you choose
redacted
Amazon Transcribe creates only a redacted transcript.When you choose
Possible values include:redacted_and_unredacted
Amazon Transcribe creates a redacted and an unredacted transcript (as two separate files)."redacted"
"redacted_and_unredacted"
PiiEntityTypes
— (Array<String>
)Specify which types of personally identifiable information (PII) you want to redact in your transcript. You can include as many types as you'd like, or you can select
ALL
. If you do not includePiiEntityTypes
in your request, all PII is redacted.
IdentifyLanguage
— (Boolean
)Indicates whether automatic language identification was enabled (
TRUE
) for the specified transcription job.IdentifyMultipleLanguages
— (Boolean
)Indicates whether automatic multi-language identification was enabled (
TRUE
) for the specified transcription job.LanguageOptions
— (Array<String>
)Provides the language codes you specified in your request.
IdentifiedLanguageScore
— (Float
)The confidence score associated with the language identified in your media file.
Confidence scores are values between 0 and 1; a larger value indicates a higher probability that the identified language correctly matches the language spoken in your media.
LanguageCodes
— (Array<map>
)The language codes used to create your transcription job. This parameter is used with multi-language identification. For single-language identification requests, refer to the singular version of this parameter,
LanguageCode
.LanguageCode
— (String
)Provides the language code for each language identified in your media.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
DurationInSeconds
— (Float
)Provides the total time, in seconds, each identified language is spoken in your media.
Tags
— (Array<map>
)The tags, each in the form of a key:value pair, assigned to the specified transcription job.
Key
— required — (String
)The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the key is 'Department'.Value
— required — (String
)The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the value is 'Sales'.Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
Subtitles
— (map
)Indicates whether subtitles were generated with your transcription.
Formats
— (Array<String>
)Provides the format of your subtitle files. If your request included both WebVTT (
vtt
) and SubRip (srt
) formats, both formats are shown.SubtitleFileUris
— (Array<String>
)The Amazon S3 location of your transcript. You can use this URI to access or download your subtitle file. Your subtitle file is stored in the same location as your transcript. If you specified both WebVTT and SubRip subtitle formats, two URIs are provided.
If you included
OutputBucketName
in your transcription job request, this is the URI of that bucket. If you also includedOutputKey
in your request, your output is located in the path you specified in your request.If you didn't include
OutputBucketName
in your transcription job request, your subtitle file is stored in a service-managed bucket, andTranscriptFileUri
provides you with a temporary URI you can use for secure access to your subtitle file.Note: Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get anAccesDenied
error, you can get a new temporary URI by running aGetTranscriptionJob
orListTranscriptionJob
request.OutputStartIndex
— (Integer
)Provides the start index value for your subtitle files. If you did not specify a value in your request, the default value of
0
is used.
LanguageIdSettings
— (map<map>
)Provides the name and language of all custom language models, custom vocabularies, and custom vocabulary filters that you included in your request.
VocabularyName
— (String
)The name of the custom vocabulary you want to use when processing your transcription job. Custom vocabulary names are case sensitive.
The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch.
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to use when processing your transcription job. Custom vocabulary filter names are case sensitive.
The language of the specified custom vocabulary filter must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary filter isn't applied. There are no errors or warnings associated with a language mismatch.
Note that if you include
VocabularyFilterName
in your request, you must also includeVocabularyFilterMethod
.LanguageModelName
— (String
)The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive.
The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
ToxicityDetection
— (Array<map>
)Provides information about the toxicity detection settings applied to your transcription.
ToxicityCategories
— required — (Array<String>
)If you include
ToxicityDetection
in your transcription request, you must also includeToxicityCategories
. The only accepted value for this parameter isALL
.
-
(AWS.Response)
—
Returns:
getVocabulary(params = {}, callback) ⇒ AWS.Request
Provides information about the specified custom vocabulary.
To view the status of the specified custom vocabulary, check the VocabularyState
field. If the status is READY
, your custom vocabulary is available to use. If the status is FAILED
, FailureReason
provides details on why your custom vocabulary failed.
To get a list of your custom vocabularies, use the operation.
Service Reference:
Examples:
Calling the getVocabulary operation
var params = {
VocabularyName: 'STRING_VALUE' /* required */
};
transcribeservice.getVocabulary(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
VocabularyName
— (String
)The name of the custom vocabulary you want information about. Custom vocabulary names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:VocabularyName
— (String
)The name of the custom vocabulary you requested information about.
LanguageCode
— (String
)The language code you selected for your custom vocabulary.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
VocabularyState
— (String
)The processing state of your custom vocabulary. If the state is
Possible values include:READY
, you can use the custom vocabulary in aStartTranscriptionJob
request."PENDING"
"READY"
"FAILED"
LastModifiedTime
— (Date
)The date and time the specified custom vocabulary was last modified.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.FailureReason
— (String
)If
VocabularyState
isFAILED
,FailureReason
contains information about why the custom vocabulary request failed. See also: Common Errors.DownloadUri
— (String
)The Amazon S3 location where the custom vocabulary is stored; use this URI to view or download the custom vocabulary.
-
(AWS.Response)
—
Returns:
getVocabularyFilter(params = {}, callback) ⇒ AWS.Request
Provides information about the specified custom vocabulary filter.
To get a list of your custom vocabulary filters, use the operation.
Service Reference:
Examples:
Calling the getVocabularyFilter operation
var params = {
VocabularyFilterName: 'STRING_VALUE' /* required */
};
transcribeservice.getVocabularyFilter(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want information about. Custom vocabulary filter names are case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:VocabularyFilterName
— (String
)The name of the custom vocabulary filter you requested information about.
LanguageCode
— (String
)The language code you selected for your custom vocabulary filter.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
LastModifiedTime
— (Date
)The date and time the specified custom vocabulary filter was last modified.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.DownloadUri
— (String
)The Amazon S3 location where the custom vocabulary filter is stored; use this URI to view or download the custom vocabulary filter.
-
(AWS.Response)
—
Returns:
listCallAnalyticsCategories(params = {}, callback) ⇒ AWS.Request
Provides a list of Call Analytics categories, including all rules that make up each category.
To get detailed information about a specific Call Analytics category, use the operation.
Service Reference:
Examples:
Calling the listCallAnalyticsCategories operation
var params = {
MaxResults: 'NUMBER_VALUE',
NextToken: 'STRING_VALUE'
};
transcribeservice.listCallAnalyticsCategories(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
NextToken
— (String
)If your
ListCallAnalyticsCategories
request returns more results than can be displayed,NextToken
is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, includingNextToken
with the value of the copied string. Repeat as needed to view all your results.MaxResults
— (Integer
)The maximum number of Call Analytics categories to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:NextToken
— (String
)If
NextToken
is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with theNextToken
parameter in your results output, then run your request again includingNextToken
with the value of the copied string. Repeat as needed to view all your results.Categories
— (Array<map>
)Provides detailed information about your Call Analytics categories, including all the rules associated with each category.
CategoryName
— (String
)The name of the Call Analytics category. Category names are case sensitive and must be unique within an Amazon Web Services account.
Rules
— (Array<map>
)The rules used to define a Call Analytics category. Each category can have between 1 and 20 rules.
NonTalkTimeFilter
— (map
)Flag the presence or absence of periods of silence in your Call Analytics transcription output. Refer to for more detail.
Threshold
— (Integer
)Specify the duration, in milliseconds, of the period of silence that you want to flag. For example, you can flag a silent period that lasts 30,000 milliseconds.
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for a period of silence. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for a period of silence. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
Negate
— (Boolean
)Set to
TRUE
to flag periods of speech. Set toFALSE
to flag periods of silence
InterruptionFilter
— (map
)Flag the presence or absence of interruptions in your Call Analytics transcription output. Refer to for more detail.
Threshold
— (Integer
)Specify the duration of the interruptions in milliseconds. For example, you can flag speech that contains more than 10,000 milliseconds of interruptions.
ParticipantRole
— (String
)Specify the interrupter that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for an interruption. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for an interruption. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
Negate
— (Boolean
)Set to
TRUE
to flag speech that does not contain interruptions. Set toFALSE
to flag speech that contains interruptions.
TranscriptFilter
— (map
)Flag the presence or absence of specific words or phrases in your Call Analytics transcription output. Refer to for more detail.
TranscriptFilterType
— required — (String
)Flag the presence or absence of an exact match to the phrases that you specify. For example, if you specify the phrase "speak to a manager" as your
Targets
value, only that exact phrase is flagged.Note that semantic matching is not supported. For example, if your customer says "speak to the manager", instead of "speak to a manager", your content is not flagged.
Possible values include:"EXACT"
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified key words or phrases. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified key words or phrases. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
ParticipantRole
— (String
)Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
Negate
— (Boolean
)Set to
TRUE
to flag the absence of the phrase that you specified in your request. Set toFALSE
to flag the presence of the phrase that you specified in your request.Targets
— required — (Array<String>
)Specify the phrases that you want to flag.
SentimentFilter
— (map
)Flag the presence or absence of specific sentiments in your Call Analytics transcription output. Refer to for more detail.
Sentiments
— required — (Array<String>
)Specify the sentiments that you want to flag.
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified sentiments. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified sentiments. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
ParticipantRole
— (String
)Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
Negate
— (Boolean
)Set to
TRUE
to flag the sentiments that you didn't include in your request. Set toFALSE
to flag the sentiments that you specified in your request.
CreateTime
— (Date
)The date and time the specified Call Analytics category was created.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.LastUpdateTime
— (Date
)The date and time the specified Call Analytics category was last updated.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-05T12:45:32.691000-07:00
represents 12:45 PM UTC-7 on May 5, 2022.InputType
— (String
)The input type associated with the specified category.
Possible values include:POST_CALL
refers to a category that is applied to batch transcriptions;REAL_TIME
refers to a category that is applied to streaming transcriptions."REAL_TIME"
"POST_CALL"
-
(AWS.Response)
—
Returns:
listCallAnalyticsJobs(params = {}, callback) ⇒ AWS.Request
Provides a list of Call Analytics jobs that match the specified criteria. If no criteria are specified, all Call Analytics jobs are returned.
To get detailed information about a specific Call Analytics job, use the operation.
Service Reference:
Examples:
Calling the listCallAnalyticsJobs operation
var params = {
JobNameContains: 'STRING_VALUE',
MaxResults: 'NUMBER_VALUE',
NextToken: 'STRING_VALUE',
Status: QUEUED | IN_PROGRESS | FAILED | COMPLETED
};
transcribeservice.listCallAnalyticsJobs(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
Status
— (String
)Returns only Call Analytics jobs with the specified status. Jobs are ordered by creation date, with the newest job first. If you do not include
Possible values include:Status
, all Call Analytics jobs are returned."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
JobNameContains
— (String
)Returns only the Call Analytics jobs that contain the specified string. The search is not case sensitive.
NextToken
— (String
)If your
ListCallAnalyticsJobs
request returns more results than can be displayed,NextToken
is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, includingNextToken
with the value of the copied string. Repeat as needed to view all your results.MaxResults
— (Integer
)The maximum number of Call Analytics jobs to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:Status
— (String
)Lists all Call Analytics jobs that have the status specified in your request. Jobs are ordered by creation date, with the newest job first.
Possible values include:"QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
NextToken
— (String
)If
NextToken
is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with theNextToken
parameter in your results output, then run your request again includingNextToken
with the value of the copied string. Repeat as needed to view all your results.CallAnalyticsJobSummaries
— (Array<map>
)Provides a summary of information about each result.
CallAnalyticsJobName
— (String
)The name of the Call Analytics job. Job names are case sensitive and must be unique within an Amazon Web Services account.
CreationTime
— (Date
)The date and time the specified Call Analytics job request was made.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.StartTime
— (Date
)The date and time your Call Analytics job began processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.789000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.CompletionTime
— (Date
)The date and time the specified Call Analytics job finished processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:33:13.922000-07:00
represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.LanguageCode
— (String
)The language code used to create your Call Analytics transcription.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
CallAnalyticsJobStatus
— (String
)Provides the status of your Call Analytics job.
If the status is
Possible values include:COMPLETED
, the job is finished and you can find the results at the location specified inTranscriptFileUri
(orRedactedTranscriptFileUri
, if you requested transcript redaction). If the status isFAILED
,FailureReason
provides details on why your transcription job failed."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
CallAnalyticsJobDetails
— (map
)Provides detailed information about a call analytics job, including information about skipped analytics features.
Skipped
— (Array<map>
)Contains information about any skipped analytics features during the analysis of a call analytics job.
This array lists all the analytics features that were skipped, along with their corresponding reason code and message.
Feature
— (String
)Indicates the type of analytics feature that was skipped during the analysis of a call analytics job.
Possible values include:"GENERATIVE_SUMMARIZATION"
ReasonCode
— (String
)Provides a code indicating the reason why a specific analytics feature was skipped during the analysis of a call analytics job.
Possible values include:"INSUFFICIENT_CONVERSATION_CONTENT"
"FAILED_SAFETY_GUIDELINES"
Message
— (String
)Contains additional information or a message explaining why a specific analytics feature was skipped during the analysis of a call analytics job.
FailureReason
— (String
)If
CallAnalyticsJobStatus
isFAILED
,FailureReason
contains information about why the Call Analytics job failed. See also: Common Errors.
-
(AWS.Response)
—
Returns:
listLanguageModels(params = {}, callback) ⇒ AWS.Request
Provides a list of custom language models that match the specified criteria. If no criteria are specified, all custom language models are returned.
To get detailed information about a specific custom language model, use the operation.
Service Reference:
Examples:
Calling the listLanguageModels operation
var params = {
MaxResults: 'NUMBER_VALUE',
NameContains: 'STRING_VALUE',
NextToken: 'STRING_VALUE',
StatusEquals: IN_PROGRESS | FAILED | COMPLETED
};
transcribeservice.listLanguageModels(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
StatusEquals
— (String
)Returns only custom language models with the specified status. Language models are ordered by creation date, with the newest model first. If you do not include
Possible values include:StatusEquals
, all custom language models are returned."IN_PROGRESS"
"FAILED"
"COMPLETED"
NameContains
— (String
)Returns only the custom language models that contain the specified string. The search is not case sensitive.
NextToken
— (String
)If your
ListLanguageModels
request returns more results than can be displayed,NextToken
is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, includingNextToken
with the value of the copied string. Repeat as needed to view all your results.MaxResults
— (Integer
)The maximum number of custom language models to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:NextToken
— (String
)If
NextToken
is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with theNextToken
parameter in your results output, then run your request again includingNextToken
with the value of the copied string. Repeat as needed to view all your results.Models
— (Array<map>
)Provides information about the custom language models that match the criteria specified in your request.
ModelName
— (String
)A unique name, chosen by you, for your custom language model.
This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
CreateTime
— (Date
)The date and time the specified custom language model was created.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.LastModifiedTime
— (Date
)The date and time the specified custom language model was last modified.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.LanguageCode
— (String
)The language code used to create your custom language model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data.
For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (
Possible values include:en-US
) is the only language supported with Amazon Transcribe Medical."en-US"
"hi-IN"
"es-US"
"en-GB"
"en-AU"
"de-DE"
"ja-JP"
BaseModelName
— (String
)The Amazon Transcribe standard language model, or base model, used to create your custom language model.
Possible values include:"NarrowBand"
"WideBand"
ModelStatus
— (String
)The status of the specified custom language model. When the status displays as
Possible values include:COMPLETED
the model is ready for use."IN_PROGRESS"
"FAILED"
"COMPLETED"
UpgradeAvailability
— (Boolean
)Shows if a more current base model is available for use with the specified custom language model.
If
false
, your custom language model is using the most up-to-date base model.If
true
, there is a newer base model available than the one your language model is using.Note that to update a base model, you must recreate the custom language model using the new base model. Base model upgrades for existing custom language models are not supported.
FailureReason
— (String
)If
ModelStatus
isFAILED
,FailureReason
contains information about why the custom language model request failed. See also: Common Errors.InputDataConfig
— (map
)The Amazon S3 location of the input files used to train and tune your custom language model, in addition to the data access role ARN (Amazon Resource Name) that has permissions to access these data.
S3Uri
— required — (String
)The Amazon S3 location (URI) of the text files you want to use to train your custom language model.
Here's an example URI path:
s3://DOC-EXAMPLE-BUCKET/my-model-training-data/
TuningDataS3Uri
— (String
)The Amazon S3 location (URI) of the text files you want to use to tune your custom language model.
Here's an example URI path:
s3://DOC-EXAMPLE-BUCKET/my-model-tuning-data/
DataAccessRoleArn
— required — (String
)The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.
IAM role ARNs have the format
arn:partition:iam::account:role/role-name-with-path
. For example:arn:aws:iam::111122223333:role/Admin
.For more information, see IAM ARNs.
-
(AWS.Response)
—
Returns:
listMedicalScribeJobs(params = {}, callback) ⇒ AWS.Request
Provides a list of Medical Scribe jobs that match the specified criteria. If no criteria are specified, all Medical Scribe jobs are returned.
To get detailed information about a specific Medical Scribe job, use the operation.
Service Reference:
Examples:
Calling the listMedicalScribeJobs operation
var params = {
JobNameContains: 'STRING_VALUE',
MaxResults: 'NUMBER_VALUE',
NextToken: 'STRING_VALUE',
Status: QUEUED | IN_PROGRESS | FAILED | COMPLETED
};
transcribeservice.listMedicalScribeJobs(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
Status
— (String
)Returns only Medical Scribe jobs with the specified status. Jobs are ordered by creation date, with the newest job first. If you do not include
Possible values include:Status
, all Medical Scribe jobs are returned."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
JobNameContains
— (String
)Returns only the Medical Scribe jobs that contain the specified string. The search is not case sensitive.
NextToken
— (String
)If your
ListMedicalScribeJobs
request returns more results than can be displayed,NextToken
is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, includingNextToken
with the value of the copied string. Repeat as needed to view all your results.MaxResults
— (Integer
)The maximum number of Medical Scribe jobs to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:Status
— (String
)Lists all Medical Scribe jobs that have the status specified in your request. Jobs are ordered by creation date, with the newest job first.
Possible values include:"QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
NextToken
— (String
)If
NextToken
is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with theNextToken
parameter in your results output, then run your request again includingNextToken
with the value of the copied string. Repeat as needed to view all your results.MedicalScribeJobSummaries
— (Array<map>
)Provides a summary of information about each result.
MedicalScribeJobName
— (String
)The name of the Medical Scribe job. Job names are case sensitive and must be unique within an Amazon Web Services account.
CreationTime
— (Date
)The date and time the specified Medical Scribe job request was made.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents a Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.StartTime
— (Date
)The date and time your Medical Scribe job began processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.789000-07:00
represents a Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.CompletionTime
— (Date
)The date and time the specified Medical Scribe job finished processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents a Medical Scribe job that finished processing at 12:32 PM UTC-7 on May 4, 2022.LanguageCode
— (String
)The language code used to create your Medical Scribe job. US English (
Possible values include:en-US
) is the only supported language for Medical Scribe jobs."en-US"
MedicalScribeJobStatus
— (String
)Provides the status of the specified Medical Scribe job.
If the status is
Possible values include:COMPLETED
, the job is finished and you can find the results at the location specified inMedicalScribeOutput
If the status isFAILED
,FailureReason
provides details on why your Medical Scribe job failed."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
FailureReason
— (String
)If
MedicalScribeJobStatus
isFAILED
,FailureReason
contains information about why the transcription job failed. See also: Common Errors.
-
(AWS.Response)
—
Returns:
listMedicalTranscriptionJobs(params = {}, callback) ⇒ AWS.Request
Provides a list of medical transcription jobs that match the specified criteria. If no criteria are specified, all medical transcription jobs are returned.
To get detailed information about a specific medical transcription job, use the operation.
Service Reference:
Examples:
Calling the listMedicalTranscriptionJobs operation
var params = {
JobNameContains: 'STRING_VALUE',
MaxResults: 'NUMBER_VALUE',
NextToken: 'STRING_VALUE',
Status: QUEUED | IN_PROGRESS | FAILED | COMPLETED
};
transcribeservice.listMedicalTranscriptionJobs(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
Status
— (String
)Returns only medical transcription jobs with the specified status. Jobs are ordered by creation date, with the newest job first. If you do not include
Possible values include:Status
, all medical transcription jobs are returned."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
JobNameContains
— (String
)Returns only the medical transcription jobs that contain the specified string. The search is not case sensitive.
NextToken
— (String
)If your
ListMedicalTranscriptionJobs
request returns more results than can be displayed,NextToken
is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, includingNextToken
with the value of the copied string. Repeat as needed to view all your results.MaxResults
— (Integer
)The maximum number of medical transcription jobs to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:Status
— (String
)Lists all medical transcription jobs that have the status specified in your request. Jobs are ordered by creation date, with the newest job first.
Possible values include:"QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
NextToken
— (String
)If
NextToken
is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with theNextToken
parameter in your results output, then run your request again includingNextToken
with the value of the copied string. Repeat as needed to view all your results.MedicalTranscriptionJobSummaries
— (Array<map>
)Provides a summary of information about each result.
MedicalTranscriptionJobName
— (String
)The name of the medical transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.
CreationTime
— (Date
)The date and time the specified medical transcription job request was made.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.StartTime
— (Date
)The date and time your medical transcription job began processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.789000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.CompletionTime
— (Date
)The date and time the specified medical transcription job finished processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:33:13.922000-07:00
represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.LanguageCode
— (String
)The language code used to create your medical transcription. US English (
Possible values include:en-US
) is the only supported language for medical transcriptions."af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
TranscriptionJobStatus
— (String
)Provides the status of your medical transcription job.
If the status is
Possible values include:COMPLETED
, the job is finished and you can find the results at the location specified inTranscriptFileUri
. If the status isFAILED
,FailureReason
provides details on why your transcription job failed."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
FailureReason
— (String
)If
TranscriptionJobStatus
isFAILED
,FailureReason
contains information about why the transcription job failed. See also: Common Errors.OutputLocationType
— (String
)Indicates where the specified medical transcription output is stored.
If the value is
CUSTOMER_BUCKET
, the location is the Amazon S3 bucket you specified using theOutputBucketName
parameter in your request. If you also includedOutputKey
in your request, your output is located in the path you specified in your request.If the value is
Possible values include:SERVICE_BUCKET
, the location is a service-managed Amazon S3 bucket. To access a transcript stored in a service-managed bucket, use the URI shown in theTranscriptFileUri
field."CUSTOMER_BUCKET"
"SERVICE_BUCKET"
Specialty
— (String
)Provides the medical specialty represented in your media.
Possible values include:"PRIMARYCARE"
ContentIdentificationType
— (String
)Labels all personal health information (PHI) identified in your transcript. For more information, see Identifying personal health information (PHI) in a transcription.
Possible values include:"PHI"
Type
— (String
)Indicates whether the input media is a dictation or a conversation, as specified in the
Possible values include:StartMedicalTranscriptionJob
request."CONVERSATION"
"DICTATION"
-
(AWS.Response)
—
Returns:
listMedicalVocabularies(params = {}, callback) ⇒ AWS.Request
Provides a list of custom medical vocabularies that match the specified criteria. If no criteria are specified, all custom medical vocabularies are returned.
To get detailed information about a specific custom medical vocabulary, use the operation.
Service Reference:
Examples:
Calling the listMedicalVocabularies operation
var params = {
MaxResults: 'NUMBER_VALUE',
NameContains: 'STRING_VALUE',
NextToken: 'STRING_VALUE',
StateEquals: PENDING | READY | FAILED
};
transcribeservice.listMedicalVocabularies(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
NextToken
— (String
)If your
ListMedicalVocabularies
request returns more results than can be displayed,NextToken
is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, includingNextToken
with the value of the copied string. Repeat as needed to view all your results.MaxResults
— (Integer
)The maximum number of custom medical vocabularies to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
StateEquals
— (String
)Returns only custom medical vocabularies with the specified state. Custom vocabularies are ordered by creation date, with the newest vocabulary first. If you do not include
Possible values include:StateEquals
, all custom medical vocabularies are returned."PENDING"
"READY"
"FAILED"
NameContains
— (String
)Returns only the custom medical vocabularies that contain the specified string. The search is not case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:Status
— (String
)Lists all custom medical vocabularies that have the status specified in your request. Custom vocabularies are ordered by creation date, with the newest vocabulary first.
Possible values include:"PENDING"
"READY"
"FAILED"
NextToken
— (String
)If
NextToken
is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with theNextToken
parameter in your results output, then run your request again includingNextToken
with the value of the copied string. Repeat as needed to view all your results.Vocabularies
— (Array<map>
)Provides information about the custom medical vocabularies that match the criteria specified in your request.
VocabularyName
— (String
)A unique name, chosen by you, for your custom vocabulary. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
LanguageCode
— (String
)The language code used to create your custom vocabulary. Each custom vocabulary must contain terms in only one language.
A custom vocabulary can only be used to transcribe files in the same language as the custom vocabulary. For example, if you create a custom vocabulary using US English (
Possible values include:en-US
), you can only apply this custom vocabulary to files that contain English audio."af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
LastModifiedTime
— (Date
)The date and time the specified custom vocabulary was last modified.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.VocabularyState
— (String
)The processing state of your custom vocabulary. If the state is
Possible values include:READY
, you can use the custom vocabulary in aStartTranscriptionJob
request."PENDING"
"READY"
"FAILED"
-
(AWS.Response)
—
Returns:
listTagsForResource(params = {}, callback) ⇒ AWS.Request
Lists all tags associated with the specified transcription job, vocabulary, model, or resource.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
Service Reference:
Examples:
Calling the listTagsForResource operation
var params = {
ResourceArn: 'STRING_VALUE' /* required */
};
transcribeservice.listTagsForResource(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
ResourceArn
— (String
)Returns a list of all tags associated with the specified Amazon Resource Name (ARN). ARNs have the format
arn:partition:service:region:account-id:resource-type/resource-id
.For example,
arn:aws:transcribe:us-west-2:111122223333:transcription-job/transcription-job-name
.Valid values for
resource-type
are:transcription-job
,medical-transcription-job
,vocabulary
,medical-vocabulary
,vocabulary-filter
, andlanguage-model
.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:ResourceArn
— (String
)The Amazon Resource Name (ARN) specified in your request.
Tags
— (Array<map>
)Lists all tags associated with the given transcription job, vocabulary, model, or resource.
Key
— required — (String
)The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the key is 'Department'.Value
— required — (String
)The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the value is 'Sales'.Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
-
(AWS.Response)
—
Returns:
listTranscriptionJobs(params = {}, callback) ⇒ AWS.Request
Provides a list of transcription jobs that match the specified criteria. If no criteria are specified, all transcription jobs are returned.
To get detailed information about a specific transcription job, use the operation.
Service Reference:
Examples:
Calling the listTranscriptionJobs operation
var params = {
JobNameContains: 'STRING_VALUE',
MaxResults: 'NUMBER_VALUE',
NextToken: 'STRING_VALUE',
Status: QUEUED | IN_PROGRESS | FAILED | COMPLETED
};
transcribeservice.listTranscriptionJobs(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
Status
— (String
)Returns only transcription jobs with the specified status. Jobs are ordered by creation date, with the newest job first. If you do not include
Possible values include:Status
, all transcription jobs are returned."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
JobNameContains
— (String
)Returns only the transcription jobs that contain the specified string. The search is not case sensitive.
NextToken
— (String
)If your
ListTranscriptionJobs
request returns more results than can be displayed,NextToken
is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, includingNextToken
with the value of the copied string. Repeat as needed to view all your results.MaxResults
— (Integer
)The maximum number of transcription jobs to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:Status
— (String
)Lists all transcription jobs that have the status specified in your request. Jobs are ordered by creation date, with the newest job first.
Possible values include:"QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
NextToken
— (String
)If
NextToken
is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with theNextToken
parameter in your results output, then run your request again includingNextToken
with the value of the copied string. Repeat as needed to view all your results.TranscriptionJobSummaries
— (Array<map>
)Provides a summary of information about each result.
TranscriptionJobName
— (String
)The name of the transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.
CreationTime
— (Date
)The date and time the specified transcription job request was made.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.StartTime
— (Date
)The date and time your transcription job began processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.789000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.CompletionTime
— (Date
)The date and time the specified transcription job finished processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:33:13.922000-07:00
represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.LanguageCode
— (String
)The language code used to create your transcription.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
TranscriptionJobStatus
— (String
)Provides the status of your transcription job.
If the status is
Possible values include:COMPLETED
, the job is finished and you can find the results at the location specified inTranscriptFileUri
(orRedactedTranscriptFileUri
, if you requested transcript redaction). If the status isFAILED
,FailureReason
provides details on why your transcription job failed."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
FailureReason
— (String
)If
TranscriptionJobStatus
isFAILED
,FailureReason
contains information about why the transcription job failed. See also: Common Errors.OutputLocationType
— (String
)Indicates where the specified transcription output is stored.
If the value is
CUSTOMER_BUCKET
, the location is the Amazon S3 bucket you specified using theOutputBucketName
parameter in your request. If you also includedOutputKey
in your request, your output is located in the path you specified in your request.If the value is
Possible values include:SERVICE_BUCKET
, the location is a service-managed Amazon S3 bucket. To access a transcript stored in a service-managed bucket, use the URI shown in theTranscriptFileUri
orRedactedTranscriptFileUri
field."CUSTOMER_BUCKET"
"SERVICE_BUCKET"
ContentRedaction
— (map
)The content redaction settings of the transcription job.
RedactionType
— required — (String
)Specify the category of information you want to redact;
Possible values include:PII
(personally identifiable information) is the only valid value. You can usePiiEntityTypes
to choose which types of PII you want to redact. If you do not includePiiEntityTypes
in your request, all PII is redacted."PII"
RedactionOutput
— required — (String
)Specify if you want only a redacted transcript, or if you want a redacted and an unredacted transcript.
When you choose
redacted
Amazon Transcribe creates only a redacted transcript.When you choose
Possible values include:redacted_and_unredacted
Amazon Transcribe creates a redacted and an unredacted transcript (as two separate files)."redacted"
"redacted_and_unredacted"
PiiEntityTypes
— (Array<String>
)Specify which types of personally identifiable information (PII) you want to redact in your transcript. You can include as many types as you'd like, or you can select
ALL
. If you do not includePiiEntityTypes
in your request, all PII is redacted.
ModelSettings
— (map
)Provides the name of the custom language model that was included in the specified transcription job.
Only use
ModelSettings
with theLanguageModelName
sub-parameter if you're not using automatic language identification (). If using
LanguageIdSettings
in your request, this parameter contains aLanguageModelName
sub-parameter.LanguageModelName
— (String
)The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive.
The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
IdentifyLanguage
— (Boolean
)Indicates whether automatic language identification was enabled (
TRUE
) for the specified transcription job.IdentifyMultipleLanguages
— (Boolean
)Indicates whether automatic multi-language identification was enabled (
TRUE
) for the specified transcription job.IdentifiedLanguageScore
— (Float
)The confidence score associated with the language identified in your media file.
Confidence scores are values between 0 and 1; a larger value indicates a higher probability that the identified language correctly matches the language spoken in your media.
LanguageCodes
— (Array<map>
)The language codes used to create your transcription job. This parameter is used with multi-language identification. For single-language identification, the singular version of this parameter,
LanguageCode
, is present.LanguageCode
— (String
)Provides the language code for each language identified in your media.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
DurationInSeconds
— (Float
)Provides the total time, in seconds, each identified language is spoken in your media.
ToxicityDetection
— (Array<map>
)Indicates whether toxicity detection was enabled for the specified transcription job.
ToxicityCategories
— required — (Array<String>
)If you include
ToxicityDetection
in your transcription request, you must also includeToxicityCategories
. The only accepted value for this parameter isALL
.
-
(AWS.Response)
—
Returns:
listVocabularies(params = {}, callback) ⇒ AWS.Request
Provides a list of custom vocabularies that match the specified criteria. If no criteria are specified, all custom vocabularies are returned.
To get detailed information about a specific custom vocabulary, use the operation.
Service Reference:
Examples:
Calling the listVocabularies operation
var params = {
MaxResults: 'NUMBER_VALUE',
NameContains: 'STRING_VALUE',
NextToken: 'STRING_VALUE',
StateEquals: PENDING | READY | FAILED
};
transcribeservice.listVocabularies(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
NextToken
— (String
)If your
ListVocabularies
request returns more results than can be displayed,NextToken
is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, includingNextToken
with the value of the copied string. Repeat as needed to view all your results.MaxResults
— (Integer
)The maximum number of custom vocabularies to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
StateEquals
— (String
)Returns only custom vocabularies with the specified state. Vocabularies are ordered by creation date, with the newest vocabulary first. If you do not include
Possible values include:StateEquals
, all custom medical vocabularies are returned."PENDING"
"READY"
"FAILED"
NameContains
— (String
)Returns only the custom vocabularies that contain the specified string. The search is not case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:Status
— (String
)Lists all custom vocabularies that have the status specified in your request. Vocabularies are ordered by creation date, with the newest vocabulary first.
Possible values include:"PENDING"
"READY"
"FAILED"
NextToken
— (String
)If
NextToken
is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with theNextToken
parameter in your results output, then run your request again includingNextToken
with the value of the copied string. Repeat as needed to view all your results.Vocabularies
— (Array<map>
)Provides information about the custom vocabularies that match the criteria specified in your request.
VocabularyName
— (String
)A unique name, chosen by you, for your custom vocabulary. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
LanguageCode
— (String
)The language code used to create your custom vocabulary. Each custom vocabulary must contain terms in only one language.
A custom vocabulary can only be used to transcribe files in the same language as the custom vocabulary. For example, if you create a custom vocabulary using US English (
Possible values include:en-US
), you can only apply this custom vocabulary to files that contain English audio."af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
LastModifiedTime
— (Date
)The date and time the specified custom vocabulary was last modified.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.VocabularyState
— (String
)The processing state of your custom vocabulary. If the state is
Possible values include:READY
, you can use the custom vocabulary in aStartTranscriptionJob
request."PENDING"
"READY"
"FAILED"
-
(AWS.Response)
—
Returns:
listVocabularyFilters(params = {}, callback) ⇒ AWS.Request
Provides a list of custom vocabulary filters that match the specified criteria. If no criteria are specified, all custom vocabularies are returned.
To get detailed information about a specific custom vocabulary filter, use the operation.
Service Reference:
Examples:
Calling the listVocabularyFilters operation
var params = {
MaxResults: 'NUMBER_VALUE',
NameContains: 'STRING_VALUE',
NextToken: 'STRING_VALUE'
};
transcribeservice.listVocabularyFilters(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
NextToken
— (String
)If your
ListVocabularyFilters
request returns more results than can be displayed,NextToken
is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, includingNextToken
with the value of the copied string. Repeat as needed to view all your results.MaxResults
— (Integer
)The maximum number of custom vocabulary filters to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
NameContains
— (String
)Returns only the custom vocabulary filters that contain the specified string. The search is not case sensitive.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:NextToken
— (String
)If
NextToken
is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with theNextToken
parameter in your results output, then run your request again includingNextToken
with the value of the copied string. Repeat as needed to view all your results.VocabularyFilters
— (Array<map>
)Provides information about the custom vocabulary filters that match the criteria specified in your request.
VocabularyFilterName
— (String
)A unique name, chosen by you, for your custom vocabulary filter. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
LanguageCode
— (String
)The language code that represents the language of the entries in your vocabulary filter. Each custom vocabulary filter must contain terms in only one language.
A custom vocabulary filter can only be used to transcribe files in the same language as the filter. For example, if you create a custom vocabulary filter using US English (
en-US
), you can only apply this filter to files that contain English audio.For a list of supported languages and their associated language codes, refer to the Supported languages table.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
LastModifiedTime
— (Date
)The date and time the specified custom vocabulary filter was last modified.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.
-
(AWS.Response)
—
Returns:
startCallAnalyticsJob(params = {}, callback) ⇒ AWS.Request
Transcribes the audio from a customer service call and applies any additional Request Parameters you choose to include in your request.
In addition to many standard transcription features, Call Analytics provides you with call characteristics, call summarization, speaker sentiment, and optional redaction of your text transcript and your audio file. You can also apply custom categories to flag specified conditions. To learn more about these features and insights, refer to Analyzing call center audio with Call Analytics.
If you want to apply categories to your Call Analytics job, you must create them before submitting your job request. Categories cannot be retroactively applied to a job. To create a new category, use the operation. To learn more about Call Analytics categories, see Creating categories for post-call transcriptions and Creating categories for real-time transcriptions.
To make a StartCallAnalyticsJob
request, you must first upload your media file into an Amazon S3 bucket; you can then specify the Amazon S3 location of the file using the Media
parameter.
Note that job queuing is enabled by default for Call Analytics jobs.
You must include the following parameters in your StartCallAnalyticsJob
request:
-
region
: The Amazon Web Services Region where you are making your request. For a list of Amazon Web Services Regions supported with Amazon Transcribe, refer to Amazon Transcribe endpoints and quotas. -
CallAnalyticsJobName
: A custom name that you create for your transcription job that's unique within your Amazon Web Services account. -
DataAccessRoleArn
: The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. -
Media
(MediaFileUri
orRedactedMediaFileUri
): The Amazon S3 location of your media file.
RedactedMediaFileUri
, instead of MediaFileUri
, to specify the location of your input audio. If you choose to redact your audio, you can find your redacted media at the location specified in the RedactedMediaFileUri
field of your response. Service Reference:
Examples:
Calling the startCallAnalyticsJob operation
var params = {
CallAnalyticsJobName: 'STRING_VALUE', /* required */
Media: { /* required */
MediaFileUri: 'STRING_VALUE',
RedactedMediaFileUri: 'STRING_VALUE'
},
ChannelDefinitions: [
{
ChannelId: 'NUMBER_VALUE',
ParticipantRole: AGENT | CUSTOMER
},
/* more items */
],
DataAccessRoleArn: 'STRING_VALUE',
OutputEncryptionKMSKeyId: 'STRING_VALUE',
OutputLocation: 'STRING_VALUE',
Settings: {
ContentRedaction: {
RedactionOutput: redacted | redacted_and_unredacted, /* required */
RedactionType: PII, /* required */
PiiEntityTypes: [
BANK_ACCOUNT_NUMBER | BANK_ROUTING | CREDIT_DEBIT_NUMBER | CREDIT_DEBIT_CVV | CREDIT_DEBIT_EXPIRY | PIN | EMAIL | ADDRESS | NAME | PHONE | SSN | ALL,
/* more items */
]
},
LanguageIdSettings: {
'<LanguageCode>': {
LanguageModelName: 'STRING_VALUE',
VocabularyFilterName: 'STRING_VALUE',
VocabularyName: 'STRING_VALUE'
},
/* '<LanguageCode>': ... */
},
LanguageModelName: 'STRING_VALUE',
LanguageOptions: [
af-ZA | ar-AE | ar-SA | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN | zh-TW | th-TH | en-ZA | en-NZ | vi-VN | sv-SE | ab-GE | ast-ES | az-AZ | ba-RU | be-BY | bg-BG | bn-IN | bs-BA | ca-ES | ckb-IQ | ckb-IR | cs-CZ | cy-WL | el-GR | et-ET | eu-ES | fi-FI | gl-ES | gu-IN | ha-NG | hr-HR | hu-HU | hy-AM | is-IS | ka-GE | kab-DZ | kk-KZ | kn-IN | ky-KG | lg-IN | lt-LT | lv-LV | mhr-RU | mi-NZ | mk-MK | ml-IN | mn-MN | mr-IN | mt-MT | no-NO | or-IN | pa-IN | pl-PL | ps-AF | ro-RO | rw-RW | si-LK | sk-SK | sl-SI | so-SO | sr-RS | su-ID | sw-BI | sw-KE | sw-RW | sw-TZ | sw-UG | tl-PH | tt-RU | ug-CN | uk-UA | uz-UZ | wo-SN | zu-ZA,
/* more items */
],
Summarization: {
GenerateAbstractiveSummary: true || false /* required */
},
VocabularyFilterMethod: remove | mask | tag,
VocabularyFilterName: 'STRING_VALUE',
VocabularyName: 'STRING_VALUE'
}
};
transcribeservice.startCallAnalyticsJob(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
CallAnalyticsJobName
— (String
)A unique name, chosen by you, for your Call Analytics job.
This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a
ConflictException
error.Media
— (map
)Describes the Amazon S3 location of the media file you want to use in your Call Analytics request.
MediaFileUri
— (String
)The Amazon S3 location of the media file you want to transcribe. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
-
RedactedMediaFileUri
— (String
)The Amazon S3 location of the media file you want to redact. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
RedactedMediaFileUri
produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob
) transcription requests.-
OutputLocation
— (String
)The Amazon S3 location where you want your Call Analytics transcription output stored. You can use any of the following formats to specify the output location:
-
s3://DOC-EXAMPLE-BUCKET
-
s3://DOC-EXAMPLE-BUCKET/my-output-folder/
-
s3://DOC-EXAMPLE-BUCKET/my-output-folder/my-call-analytics-job.json
Unless you specify a file name (option 3), the name of your output file has a default value that matches the name you specified for your transcription job using the
CallAnalyticsJobName
parameter.You can specify a KMS key to encrypt your output using the
OutputEncryptionKMSKeyId
parameter. If you do not specify a KMS key, Amazon Transcribe uses the default Amazon S3 key for server-side encryption.If you do not specify
OutputLocation
, your transcript is placed in a service-managed Amazon S3 bucket and you are provided with a URI to access your transcript.-
OutputEncryptionKMSKeyId
— (String
)The KMS key you want to use to encrypt your Call Analytics output.
If using a key located in the current Amazon Web Services account, you can specify your KMS key in one of four ways:
-
Use the KMS key ID itself. For example,
1234abcd-12ab-34cd-56ef-1234567890ab
. -
Use an alias for the KMS key ID. For example,
alias/ExampleAlias
. -
Use the Amazon Resource Name (ARN) for the KMS key ID. For example,
arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab
. -
Use the ARN for the KMS key alias. For example,
arn:aws:kms:region:account-ID:alias/ExampleAlias
.
If using a key located in a different Amazon Web Services account than the current Amazon Web Services account, you can specify your KMS key in one of two ways:
-
Use the ARN for the KMS key ID. For example,
arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab
. -
Use the ARN for the KMS key alias. For example,
arn:aws:kms:region:account-ID:alias/ExampleAlias
.
If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).
If you specify a KMS key to encrypt your output, you must also specify an output location using the
OutputLocation
parameter.Note that the role making the request must have permission to use the specified KMS key.
-
DataAccessRoleArn
— (String
)The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.
IAM role ARNs have the format
arn:partition:iam::account:role/role-name-with-path
. For example:arn:aws:iam::111122223333:role/Admin
.For more information, see IAM ARNs.
Settings
— (map
)Specify additional optional settings in your request, including content redaction; allows you to apply custom language models, vocabulary filters, and custom vocabularies to your Call Analytics job.
VocabularyName
— (String
)The name of the custom vocabulary you want to include in your Call Analytics transcription request. Custom vocabulary names are case sensitive.
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to include in your Call Analytics transcription request. Custom vocabulary filter names are case sensitive.
Note that if you include
VocabularyFilterName
in your request, you must also includeVocabularyFilterMethod
.VocabularyFilterMethod
— (String
)Specify how you want your custom vocabulary filter applied to your transcript.
To replace words with
***
, choosemask
.To delete words, choose
remove
.To flag words without changing them, choose
Possible values include:tag
."remove"
"mask"
"tag"
LanguageModelName
— (String
)The name of the custom language model you want to use when processing your Call Analytics job. Note that custom language model names are case sensitive.
The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
ContentRedaction
— (map
)Makes it possible to redact or flag specified personally identifiable information (PII) in your transcript. If you use
ContentRedaction
, you must also include the sub-parameters:RedactionOutput
andRedactionType
. You can optionally includePiiEntityTypes
to choose which types of PII you want to redact.RedactionType
— required — (String
)Specify the category of information you want to redact;
Possible values include:PII
(personally identifiable information) is the only valid value. You can usePiiEntityTypes
to choose which types of PII you want to redact. If you do not includePiiEntityTypes
in your request, all PII is redacted."PII"
RedactionOutput
— required — (String
)Specify if you want only a redacted transcript, or if you want a redacted and an unredacted transcript.
When you choose
redacted
Amazon Transcribe creates only a redacted transcript.When you choose
Possible values include:redacted_and_unredacted
Amazon Transcribe creates a redacted and an unredacted transcript (as two separate files)."redacted"
"redacted_and_unredacted"
PiiEntityTypes
— (Array<String>
)Specify which types of personally identifiable information (PII) you want to redact in your transcript. You can include as many types as you'd like, or you can select
ALL
. If you do not includePiiEntityTypes
in your request, all PII is redacted.
LanguageOptions
— (Array<String>
)You can specify two or more language codes that represent the languages you think may be present in your media. Including more than five is not recommended. If you're unsure what languages are present, do not include this parameter.
Including language options can improve the accuracy of language identification.
For a list of languages supported with Call Analytics, refer to the Supported languages table.
To transcribe speech in Modern Standard Arabic (
ar-SA
), your media file must be encoded at a sample rate of 16,000 Hz or higher.LanguageIdSettings
— (map<map>
)If using automatic language identification in your request and you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter, include
LanguageIdSettings
with the relevant sub-parameters (VocabularyName
,LanguageModelName
, andVocabularyFilterName
).LanguageIdSettings
supports two to five language codes. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The language codes that you specify must match the languages of the associated custom language models, custom vocabularies, and custom vocabulary filters.It's recommended that you include
LanguageOptions
when usingLanguageIdSettings
to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is inen-US
but Amazon Transcribe determines that the language spoken in your media isen-AU
, your custom vocabulary is not applied to your transcription. If you includeLanguageOptions
and includeen-US
as the only English language dialect, your custom vocabulary is applied to your transcription.If you want to include a custom language model, custom vocabulary, or custom vocabulary filter with your request but do not want to use automatic language identification, use instead the
parameter with the
LanguageModelName
,VocabularyName
, orVocabularyFilterName
sub-parameters.For a list of languages supported with Call Analytics, refer to Supported languages and language-specific features.
VocabularyName
— (String
)The name of the custom vocabulary you want to use when processing your transcription job. Custom vocabulary names are case sensitive.
The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch.
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to use when processing your transcription job. Custom vocabulary filter names are case sensitive.
The language of the specified custom vocabulary filter must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary filter isn't applied. There are no errors or warnings associated with a language mismatch.
Note that if you include
VocabularyFilterName
in your request, you must also includeVocabularyFilterMethod
.LanguageModelName
— (String
)The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive.
The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
Summarization
— (map
)Contains
GenerateAbstractiveSummary
, which is a required parameter if you want to enable Generative call summarization in your Call Analytics request.GenerateAbstractiveSummary
— required — (Boolean
)Enables Generative call summarization in your Call Analytics request
Generative call summarization provides a summary of the transcript including important components discussed in the conversation.
For more information, see Enabling generative call summarization.
ChannelDefinitions
— (Array<map>
)Makes it possible to specify which speaker is on which channel. For example, if your agent is the first participant to speak, you would set
ChannelId
to0
(to indicate the first channel) andParticipantRole
toAGENT
(to indicate that it's the agent speaking).ChannelId
— (Integer
)Specify the audio channel you want to define.
ParticipantRole
— (String
)Specify the speaker you want to define. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:CallAnalyticsJob
— (map
)Provides detailed information about the current Call Analytics job, including job status and, if applicable, failure reason.
CallAnalyticsJobName
— (String
)The name of the Call Analytics job. Job names are case sensitive and must be unique within an Amazon Web Services account.
CallAnalyticsJobStatus
— (String
)Provides the status of the specified Call Analytics job.
If the status is
Possible values include:COMPLETED
, the job is finished and you can find the results at the location specified inTranscriptFileUri
(orRedactedTranscriptFileUri
, if you requested transcript redaction). If the status isFAILED
,FailureReason
provides details on why your transcription job failed."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
CallAnalyticsJobDetails
— (map
)Provides detailed information about a call analytics job, including information about skipped analytics features.
Skipped
— (Array<map>
)Contains information about any skipped analytics features during the analysis of a call analytics job.
This array lists all the analytics features that were skipped, along with their corresponding reason code and message.
Feature
— (String
)Indicates the type of analytics feature that was skipped during the analysis of a call analytics job.
Possible values include:"GENERATIVE_SUMMARIZATION"
ReasonCode
— (String
)Provides a code indicating the reason why a specific analytics feature was skipped during the analysis of a call analytics job.
Possible values include:"INSUFFICIENT_CONVERSATION_CONTENT"
"FAILED_SAFETY_GUIDELINES"
Message
— (String
)Contains additional information or a message explaining why a specific analytics feature was skipped during the analysis of a call analytics job.
LanguageCode
— (String
)The language code used to create your Call Analytics job. For a list of supported languages and their associated language codes, refer to the Supported languages table.
If you do not know the language spoken in your media file, you can omit this field and let Amazon Transcribe automatically identify the language of your media. To improve the accuracy of language identification, you can include several language codes and Amazon Transcribe chooses the closest match for your transcription.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
MediaSampleRateHertz
— (Integer
)The sample rate, in hertz, of the audio track in your input media file.
MediaFormat
— (String
)The format of the input media file.
Possible values include:"mp3"
"mp4"
"wav"
"flac"
"ogg"
"amr"
"webm"
"m4a"
Media
— (map
)Provides the Amazon S3 location of the media file you used in your Call Analytics request.
MediaFileUri
— (String
)The Amazon S3 location of the media file you want to transcribe. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
-
RedactedMediaFileUri
— (String
)The Amazon S3 location of the media file you want to redact. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
RedactedMediaFileUri
produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob
) transcription requests.-
Transcript
— (map
)Provides you with the Amazon S3 URI you can use to access your transcript.
TranscriptFileUri
— (String
)The Amazon S3 location of your transcript. You can use this URI to access or download your transcript.
If you included
OutputBucketName
in your transcription job request, this is the URI of that bucket. If you also includedOutputKey
in your request, your output is located in the path you specified in your request.If you didn't include
OutputBucketName
in your transcription job request, your transcript is stored in a service-managed bucket, andTranscriptFileUri
provides you with a temporary URI you can use for secure access to your transcript.Note: Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get anAccesDenied
error, you can get a new temporary URI by running aGetTranscriptionJob
orListTranscriptionJob
request.RedactedTranscriptFileUri
— (String
)The Amazon S3 location of your redacted transcript. You can use this URI to access or download your transcript.
If you included
OutputBucketName
in your transcription job request, this is the URI of that bucket. If you also includedOutputKey
in your request, your output is located in the path you specified in your request.If you didn't include
OutputBucketName
in your transcription job request, your transcript is stored in a service-managed bucket, andRedactedTranscriptFileUri
provides you with a temporary URI you can use for secure access to your transcript.Note: Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get anAccesDenied
error, you can get a new temporary URI by running aGetTranscriptionJob
orListTranscriptionJob
request.
StartTime
— (Date
)The date and time the specified Call Analytics job began processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.789000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.CreationTime
— (Date
)The date and time the specified Call Analytics job request was made.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.CompletionTime
— (Date
)The date and time the specified Call Analytics job finished processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:33:13.922000-07:00
represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.FailureReason
— (String
)If
CallAnalyticsJobStatus
isFAILED
,FailureReason
contains information about why the Call Analytics job request failed.The
FailureReason
field contains one of the following values:-
Unsupported media format
.The media format specified in
MediaFormat
isn't valid. Refer to refer to theMediaFormat
parameter for a list of supported formats. -
The media format provided does not match the detected media format
.The media format specified in
MediaFormat
doesn't match the format of the input file. Check the media format of your media file and correct the specified value. -
Invalid sample rate for audio file
.The sample rate specified in
MediaSampleRateHertz
isn't valid. The sample rate must be between 8,000 and 48,000 hertz. -
The sample rate provided does not match the detected sample rate
.The sample rate specified in
MediaSampleRateHertz
doesn't match the sample rate detected in your input media file. Check the sample rate of your media file and correct the specified value. -
Invalid file size: file size too large
.The size of your media file is larger than what Amazon Transcribe can process. For more information, refer to Service quotas.
-
Invalid number of channels: number of channels too large
.Your audio contains more channels than Amazon Transcribe is able to process. For more information, refer to Service quotas.
-
DataAccessRoleArn
— (String
)The Amazon Resource Name (ARN) you included in your request.
IdentifiedLanguageScore
— (Float
)The confidence score associated with the language identified in your media file.
Confidence scores are values between 0 and 1; a larger value indicates a higher probability that the identified language correctly matches the language spoken in your media.
Settings
— (map
)Provides information on any additional settings that were included in your request. Additional settings include content redaction and language identification settings.
VocabularyName
— (String
)The name of the custom vocabulary you want to include in your Call Analytics transcription request. Custom vocabulary names are case sensitive.
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to include in your Call Analytics transcription request. Custom vocabulary filter names are case sensitive.
Note that if you include
VocabularyFilterName
in your request, you must also includeVocabularyFilterMethod
.VocabularyFilterMethod
— (String
)Specify how you want your custom vocabulary filter applied to your transcript.
To replace words with
***
, choosemask
.To delete words, choose
remove
.To flag words without changing them, choose
Possible values include:tag
."remove"
"mask"
"tag"
LanguageModelName
— (String
)The name of the custom language model you want to use when processing your Call Analytics job. Note that custom language model names are case sensitive.
The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
ContentRedaction
— (map
)Makes it possible to redact or flag specified personally identifiable information (PII) in your transcript. If you use
ContentRedaction
, you must also include the sub-parameters:RedactionOutput
andRedactionType
. You can optionally includePiiEntityTypes
to choose which types of PII you want to redact.RedactionType
— required — (String
)Specify the category of information you want to redact;
Possible values include:PII
(personally identifiable information) is the only valid value. You can usePiiEntityTypes
to choose which types of PII you want to redact. If you do not includePiiEntityTypes
in your request, all PII is redacted."PII"
RedactionOutput
— required — (String
)Specify if you want only a redacted transcript, or if you want a redacted and an unredacted transcript.
When you choose
redacted
Amazon Transcribe creates only a redacted transcript.When you choose
Possible values include:redacted_and_unredacted
Amazon Transcribe creates a redacted and an unredacted transcript (as two separate files)."redacted"
"redacted_and_unredacted"
PiiEntityTypes
— (Array<String>
)Specify which types of personally identifiable information (PII) you want to redact in your transcript. You can include as many types as you'd like, or you can select
ALL
. If you do not includePiiEntityTypes
in your request, all PII is redacted.
LanguageOptions
— (Array<String>
)You can specify two or more language codes that represent the languages you think may be present in your media. Including more than five is not recommended. If you're unsure what languages are present, do not include this parameter.
Including language options can improve the accuracy of language identification.
For a list of languages supported with Call Analytics, refer to the Supported languages table.
To transcribe speech in Modern Standard Arabic (
ar-SA
), your media file must be encoded at a sample rate of 16,000 Hz or higher.LanguageIdSettings
— (map<map>
)If using automatic language identification in your request and you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter, include
LanguageIdSettings
with the relevant sub-parameters (VocabularyName
,LanguageModelName
, andVocabularyFilterName
).LanguageIdSettings
supports two to five language codes. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The language codes that you specify must match the languages of the associated custom language models, custom vocabularies, and custom vocabulary filters.It's recommended that you include
LanguageOptions
when usingLanguageIdSettings
to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is inen-US
but Amazon Transcribe determines that the language spoken in your media isen-AU
, your custom vocabulary is not applied to your transcription. If you includeLanguageOptions
and includeen-US
as the only English language dialect, your custom vocabulary is applied to your transcription.If you want to include a custom language model, custom vocabulary, or custom vocabulary filter with your request but do not want to use automatic language identification, use instead the
parameter with the
LanguageModelName
,VocabularyName
, orVocabularyFilterName
sub-parameters.For a list of languages supported with Call Analytics, refer to Supported languages and language-specific features.
VocabularyName
— (String
)The name of the custom vocabulary you want to use when processing your transcription job. Custom vocabulary names are case sensitive.
The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch.
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to use when processing your transcription job. Custom vocabulary filter names are case sensitive.
The language of the specified custom vocabulary filter must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary filter isn't applied. There are no errors or warnings associated with a language mismatch.
Note that if you include
VocabularyFilterName
in your request, you must also includeVocabularyFilterMethod
.LanguageModelName
— (String
)The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive.
The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
Summarization
— (map
)Contains
GenerateAbstractiveSummary
, which is a required parameter if you want to enable Generative call summarization in your Call Analytics request.GenerateAbstractiveSummary
— required — (Boolean
)Enables Generative call summarization in your Call Analytics request
Generative call summarization provides a summary of the transcript including important components discussed in the conversation.
For more information, see Enabling generative call summarization.
ChannelDefinitions
— (Array<map>
)Indicates which speaker is on which channel.
ChannelId
— (Integer
)Specify the audio channel you want to define.
ParticipantRole
— (String
)Specify the speaker you want to define. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
-
(AWS.Response)
—
Returns:
startMedicalScribeJob(params = {}, callback) ⇒ AWS.Request
Transcribes patient-clinician conversations and generates clinical notes.
Amazon Web Services HealthScribe automatically provides rich conversation transcripts, identifies speaker roles, classifies dialogues, extracts medical terms, and generates preliminary clinical notes. To learn more about these features, refer to Amazon Web Services HealthScribe.
To make a StartMedicalScribeJob
request, you must first upload your media file into an Amazon S3 bucket; you can then specify the Amazon S3 location of the file using the Media
parameter.
You must include the following parameters in your StartMedicalTranscriptionJob
request:
-
DataAccessRoleArn
: The ARN of an IAM role with the these minimum permissions: read permission on input file Amazon S3 bucket specified inMedia
, write permission on the Amazon S3 bucket specified inOutputBucketName
, and full permissions on the KMS key specified inOutputEncryptionKMSKeyId
(if set). The role should also allowtranscribe.amazonaws.com
to assume it. -
Media
(MediaFileUri
): The Amazon S3 location of your media file. -
MedicalScribeJobName
: A custom name you create for your MedicalScribe job that is unique within your Amazon Web Services account. -
OutputBucketName
: The Amazon S3 bucket where you want your output files stored. -
Settings
: AMedicalScribeSettings
obect that must set exactly one ofShowSpeakerLabels
orChannelIdentification
to true. IfShowSpeakerLabels
is true,MaxSpeakerLabels
must also be set. -
ChannelDefinitions
: AMedicalScribeChannelDefinitions
array should be set if and only if theChannelIdentification
value ofSettings
is set to true.
Service Reference:
Examples:
Calling the startMedicalScribeJob operation
var params = {
DataAccessRoleArn: 'STRING_VALUE', /* required */
Media: { /* required */
MediaFileUri: 'STRING_VALUE',
RedactedMediaFileUri: 'STRING_VALUE'
},
MedicalScribeJobName: 'STRING_VALUE', /* required */
OutputBucketName: 'STRING_VALUE', /* required */
Settings: { /* required */
ChannelIdentification: true || false,
MaxSpeakerLabels: 'NUMBER_VALUE',
ShowSpeakerLabels: true || false,
VocabularyFilterMethod: remove | mask | tag,
VocabularyFilterName: 'STRING_VALUE',
VocabularyName: 'STRING_VALUE'
},
ChannelDefinitions: [
{
ChannelId: 'NUMBER_VALUE', /* required */
ParticipantRole: PATIENT | CLINICIAN /* required */
},
/* more items */
],
KMSEncryptionContext: {
'<NonEmptyString>': 'STRING_VALUE',
/* '<NonEmptyString>': ... */
},
OutputEncryptionKMSKeyId: 'STRING_VALUE',
Tags: [
{
Key: 'STRING_VALUE', /* required */
Value: 'STRING_VALUE' /* required */
},
/* more items */
]
};
transcribeservice.startMedicalScribeJob(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
MedicalScribeJobName
— (String
)A unique name, chosen by you, for your Medical Scribe job.
This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a
ConflictException
error.Media
— (map
)Describes the Amazon S3 location of the media file you want to use in your request.
For information on supported media formats, refer to the
MediaFormat
parameter or the Media formats section in the Amazon S3 Developer Guide.MediaFileUri
— (String
)The Amazon S3 location of the media file you want to transcribe. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
-
RedactedMediaFileUri
— (String
)The Amazon S3 location of the media file you want to redact. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
RedactedMediaFileUri
produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob
) transcription requests.-
OutputBucketName
— (String
)The name of the Amazon S3 bucket where you want your Medical Scribe output stored. Do not include the
S3://
prefix of the specified bucket.Note that the role specified in the
DataAccessRoleArn
request parameter must have permission to use the specified location. You can change Amazon S3 permissions using the Amazon Web Services Management Console. See also Permissions Required for IAM User Roles.OutputEncryptionKMSKeyId
— (String
)The KMS key you want to use to encrypt your Medical Scribe output.
If using a key located in the current Amazon Web Services account, you can specify your KMS key in one of four ways:
-
Use the KMS key ID itself. For example,
1234abcd-12ab-34cd-56ef-1234567890ab
. -
Use an alias for the KMS key ID. For example,
alias/ExampleAlias
. -
Use the Amazon Resource Name (ARN) for the KMS key ID. For example,
arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab
. -
Use the ARN for the KMS key alias. For example,
arn:aws:kms:region:account-ID:alias/ExampleAlias
.
If using a key located in a different Amazon Web Services account than the current Amazon Web Services account, you can specify your KMS key in one of two ways:
-
Use the ARN for the KMS key ID. For example,
arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab
. -
Use the ARN for the KMS key alias. For example,
arn:aws:kms:region:account-ID:alias/ExampleAlias
.
If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).
Note that the role specified in the
DataAccessRoleArn
request parameter must have permission to use the specified KMS key.-
KMSEncryptionContext
— (map<String>
)A map of plain text, non-secret key:value pairs, known as encryption context pairs, that provide an added layer of security for your data. For more information, see KMS encryption context and Asymmetric keys in KMS.
DataAccessRoleArn
— (String
)The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files, write to the output bucket, and use your KMS key if supplied. If the role that you specify doesn’t have the appropriate permissions your request fails.
IAM role ARNs have the format
arn:partition:iam::account:role/role-name-with-path
. For example:arn:aws:iam::111122223333:role/Admin
.For more information, see IAM ARNs.
Settings
— (map
)Makes it possible to control how your Medical Scribe job is processed using a
MedicalScribeSettings
object. SpecifyChannelIdentification
ifChannelDefinitions
are set. EnabledShowSpeakerLabels
ifChannelIdentification
andChannelDefinitions
are not set. One and only one ofChannelIdentification
andShowSpeakerLabels
must be set. IfShowSpeakerLabels
is set,MaxSpeakerLabels
must also be set. UseSettings
to specify a vocabulary or vocabulary filter or both usingVocabularyName
,VocabularyFilterName
.VocabularyFilterMethod
must be specified ifVocabularyFilterName
is set.ShowSpeakerLabels
— (Boolean
)Enables speaker partitioning (diarization) in your Medical Scribe output. Speaker partitioning labels the speech from individual speakers in your media file.
If you enable
ShowSpeakerLabels
in your request, you must also includeMaxSpeakerLabels
.For more information, see Partitioning speakers (diarization).
MaxSpeakerLabels
— (Integer
)Specify the maximum number of speakers you want to partition in your media.
Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.
If you specify the
MaxSpeakerLabels
field, you must set theShowSpeakerLabels
field to true.ChannelIdentification
— (Boolean
)Enables channel identification in multi-channel audio.
Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.
For more information, see Transcribing multi-channel audio.
VocabularyName
— (String
)The name of the custom vocabulary you want to include in your Medical Scribe request. Custom vocabulary names are case sensitive.
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to include in your Medical Scribe request. Custom vocabulary filter names are case sensitive.
Note that if you include
VocabularyFilterName
in your request, you must also includeVocabularyFilterMethod
.VocabularyFilterMethod
— (String
)Specify how you want your custom vocabulary filter applied to your transcript.
To replace words with
***
, choosemask
.To delete words, choose
remove
.To flag words without changing them, choose
Possible values include:tag
."remove"
"mask"
"tag"
ChannelDefinitions
— (Array<map>
)Makes it possible to specify which speaker is on which channel. For example, if the clinician is the first participant to speak, you would set
ChannelId
of the firstChannelDefinition
in the list to0
(to indicate the first channel) andParticipantRole
toCLINICIAN
(to indicate that it's the clinician speaking). Then you would set theChannelId
of the secondChannelDefinition
in the list to1
(to indicate the second channel) andParticipantRole
toPATIENT
(to indicate that it's the patient speaking).ChannelId
— required — (Integer
)Specify the audio channel you want to define.
ParticipantRole
— required — (String
)Specify the participant that you want to flag. The options are
Possible values include:CLINICIAN
andPATIENT
"PATIENT"
"CLINICIAN"
Tags
— (Array<map>
)Adds one or more custom tags, each in the form of a key:value pair, to the Medica Scribe job.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
Key
— required — (String
)The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the key is 'Department'.Value
— required — (String
)The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the value is 'Sales'.Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:MedicalScribeJob
— (map
)Provides detailed information about the current Medical Scribe job, including job status and, if applicable, failure reason.
MedicalScribeJobName
— (String
)The name of the Medical Scribe job. Job names are case sensitive and must be unique within an Amazon Web Services account.
MedicalScribeJobStatus
— (String
)Provides the status of the specified Medical Scribe job.
If the status is
Possible values include:COMPLETED
, the job is finished and you can find the results at the location specified inMedicalScribeOutput
If the status isFAILED
,FailureReason
provides details on why your Medical Scribe job failed."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
LanguageCode
— (String
)The language code used to create your Medical Scribe job. US English (
Possible values include:en-US
) is the only supported language for Medical Scribe jobs."en-US"
Media
— (map
)Describes the Amazon S3 location of the media file you want to use in your request.
For information on supported media formats, refer to the
MediaFormat
parameter or the Media formats section in the Amazon S3 Developer Guide.MediaFileUri
— (String
)The Amazon S3 location of the media file you want to transcribe. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
-
RedactedMediaFileUri
— (String
)The Amazon S3 location of the media file you want to redact. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
RedactedMediaFileUri
produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob
) transcription requests.-
MedicalScribeOutput
— (map
)The location of the output of your Medical Scribe job.
ClinicalDocumentUri
holds the Amazon S3 URI for the Clinical Document andTranscriptFileUri
holds the Amazon S3 URI for the Transcript.TranscriptFileUri
— required — (String
)Holds the Amazon S3 URI for the Transcript.
ClinicalDocumentUri
— required — (String
)Holds the Amazon S3 URI for the Clinical Document.
StartTime
— (Date
)The date and time your Medical Scribe job began processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.789000-07:00
represents a Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.CreationTime
— (Date
)The date and time the specified Medical Scribe job request was made.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents a Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.CompletionTime
— (Date
)The date and time the specified Medical Scribe job finished processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents a Medical Scribe job that finished processing at 12:32 PM UTC-7 on May 4, 2022.FailureReason
— (String
)If
MedicalScribeJobStatus
isFAILED
,FailureReason
contains information about why the transcription job failed. See also: Common Errors.Settings
— (map
)Makes it possible to control how your Medical Scribe job is processed using a
MedicalScribeSettings
object. SpecifyChannelIdentification
ifChannelDefinitions
are set. EnabledShowSpeakerLabels
ifChannelIdentification
andChannelDefinitions
are not set. One and only one ofChannelIdentification
andShowSpeakerLabels
must be set. IfShowSpeakerLabels
is set,MaxSpeakerLabels
must also be set. UseSettings
to specify a vocabulary or vocabulary filter or both usingVocabularyName
,VocabularyFilterName
.VocabularyFilterMethod
must be specified ifVocabularyFilterName
is set.ShowSpeakerLabels
— (Boolean
)Enables speaker partitioning (diarization) in your Medical Scribe output. Speaker partitioning labels the speech from individual speakers in your media file.
If you enable
ShowSpeakerLabels
in your request, you must also includeMaxSpeakerLabels
.For more information, see Partitioning speakers (diarization).
MaxSpeakerLabels
— (Integer
)Specify the maximum number of speakers you want to partition in your media.
Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.
If you specify the
MaxSpeakerLabels
field, you must set theShowSpeakerLabels
field to true.ChannelIdentification
— (Boolean
)Enables channel identification in multi-channel audio.
Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.
For more information, see Transcribing multi-channel audio.
VocabularyName
— (String
)The name of the custom vocabulary you want to include in your Medical Scribe request. Custom vocabulary names are case sensitive.
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to include in your Medical Scribe request. Custom vocabulary filter names are case sensitive.
Note that if you include
VocabularyFilterName
in your request, you must also includeVocabularyFilterMethod
.VocabularyFilterMethod
— (String
)Specify how you want your custom vocabulary filter applied to your transcript.
To replace words with
***
, choosemask
.To delete words, choose
remove
.To flag words without changing them, choose
Possible values include:tag
."remove"
"mask"
"tag"
DataAccessRoleArn
— (String
)The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files, write to the output bucket, and use your KMS key if supplied. If the role that you specify doesn’t have the appropriate permissions your request fails.
IAM role ARNs have the format
arn:partition:iam::account:role/role-name-with-path
. For example:arn:aws:iam::111122223333:role/Admin
.For more information, see IAM ARNs.
ChannelDefinitions
— (Array<map>
)Makes it possible to specify which speaker is on which channel. For example, if the clinician is the first participant to speak, you would set
ChannelId
of the firstChannelDefinition
in the list to0
(to indicate the first channel) andParticipantRole
toCLINICIAN
(to indicate that it's the clinician speaking). Then you would set theChannelId
of the secondChannelDefinition
in the list to1
(to indicate the second channel) andParticipantRole
toPATIENT
(to indicate that it's the patient speaking).ChannelId
— required — (Integer
)Specify the audio channel you want to define.
ParticipantRole
— required — (String
)Specify the participant that you want to flag. The options are
Possible values include:CLINICIAN
andPATIENT
"PATIENT"
"CLINICIAN"
Tags
— (Array<map>
)Adds one or more custom tags, each in the form of a key:value pair, to the Medica Scribe job.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
Key
— required — (String
)The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the key is 'Department'.Value
— required — (String
)The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the value is 'Sales'.Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
-
(AWS.Response)
—
Returns:
startMedicalTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Transcribes the audio from a medical dictation or conversation and applies any additional Request Parameters you choose to include in your request.
In addition to many standard transcription features, Amazon Transcribe Medical provides you with a robust medical vocabulary and, optionally, content identification, which adds flags to personal health information (PHI). To learn more about these features, refer to How Amazon Transcribe Medical works.
To make a StartMedicalTranscriptionJob
request, you must first upload your media file into an Amazon S3 bucket; you can then specify the Amazon S3 location of the file using the Media
parameter.
You must include the following parameters in your StartMedicalTranscriptionJob
request:
-
region
: The Amazon Web Services Region where you are making your request. For a list of Amazon Web Services Regions supported with Amazon Transcribe, refer to Amazon Transcribe endpoints and quotas. -
MedicalTranscriptionJobName
: A custom name you create for your transcription job that is unique within your Amazon Web Services account. -
Media
(MediaFileUri
): The Amazon S3 location of your media file. -
LanguageCode
: This must been-US
. -
OutputBucketName
: The Amazon S3 bucket where you want your transcript stored. If you want your output stored in a sub-folder of this bucket, you must also includeOutputKey
. -
Specialty
: This must bePRIMARYCARE
. -
Type
: Choose whether your audio is a conversation or a dictation.
Service Reference:
Examples:
Calling the startMedicalTranscriptionJob operation
var params = {
LanguageCode: af-ZA | ar-AE | ar-SA | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN | zh-TW | th-TH | en-ZA | en-NZ | vi-VN | sv-SE | ab-GE | ast-ES | az-AZ | ba-RU | be-BY | bg-BG | bn-IN | bs-BA | ca-ES | ckb-IQ | ckb-IR | cs-CZ | cy-WL | el-GR | et-ET | eu-ES | fi-FI | gl-ES | gu-IN | ha-NG | hr-HR | hu-HU | hy-AM | is-IS | ka-GE | kab-DZ | kk-KZ | kn-IN | ky-KG | lg-IN | lt-LT | lv-LV | mhr-RU | mi-NZ | mk-MK | ml-IN | mn-MN | mr-IN | mt-MT | no-NO | or-IN | pa-IN | pl-PL | ps-AF | ro-RO | rw-RW | si-LK | sk-SK | sl-SI | so-SO | sr-RS | su-ID | sw-BI | sw-KE | sw-RW | sw-TZ | sw-UG | tl-PH | tt-RU | ug-CN | uk-UA | uz-UZ | wo-SN | zu-ZA, /* required */
Media: { /* required */
MediaFileUri: 'STRING_VALUE',
RedactedMediaFileUri: 'STRING_VALUE'
},
MedicalTranscriptionJobName: 'STRING_VALUE', /* required */
OutputBucketName: 'STRING_VALUE', /* required */
Specialty: PRIMARYCARE, /* required */
Type: CONVERSATION | DICTATION, /* required */
ContentIdentificationType: PHI,
KMSEncryptionContext: {
'<NonEmptyString>': 'STRING_VALUE',
/* '<NonEmptyString>': ... */
},
MediaFormat: mp3 | mp4 | wav | flac | ogg | amr | webm | m4a,
MediaSampleRateHertz: 'NUMBER_VALUE',
OutputEncryptionKMSKeyId: 'STRING_VALUE',
OutputKey: 'STRING_VALUE',
Settings: {
ChannelIdentification: true || false,
MaxAlternatives: 'NUMBER_VALUE',
MaxSpeakerLabels: 'NUMBER_VALUE',
ShowAlternatives: true || false,
ShowSpeakerLabels: true || false,
VocabularyName: 'STRING_VALUE'
},
Tags: [
{
Key: 'STRING_VALUE', /* required */
Value: 'STRING_VALUE' /* required */
},
/* more items */
]
};
transcribeservice.startMedicalTranscriptionJob(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
MedicalTranscriptionJobName
— (String
)A unique name, chosen by you, for your medical transcription job. The name that you specify is also used as the default name of your transcription output file. If you want to specify a different name for your transcription output, use the
OutputKey
parameter.This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a
ConflictException
error.LanguageCode
— (String
)The language code that represents the language spoken in the input media file. US English (
Possible values include:en-US
) is the only valid value for medical transcription jobs. Any other value you enter for language code results in aBadRequestException
error."af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
MediaSampleRateHertz
— (Integer
)The sample rate, in hertz, of the audio track in your input media file.
If you do not specify the media sample rate, Amazon Transcribe Medical determines it for you. If you specify the sample rate, it must match the rate detected by Amazon Transcribe Medical; if there's a mismatch between the value that you specify and the value detected, your job fails. Therefore, in most cases, it's advised to omit
MediaSampleRateHertz
and let Amazon Transcribe Medical determine the sample rate.MediaFormat
— (String
)Specify the format of your input media file.
Possible values include:"mp3"
"mp4"
"wav"
"flac"
"ogg"
"amr"
"webm"
"m4a"
Media
— (map
)Describes the Amazon S3 location of the media file you want to use in your request.
For information on supported media formats, refer to the
MediaFormat
parameter or the Media formats section in the Amazon S3 Developer Guide.MediaFileUri
— (String
)The Amazon S3 location of the media file you want to transcribe. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
-
RedactedMediaFileUri
— (String
)The Amazon S3 location of the media file you want to redact. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
RedactedMediaFileUri
produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob
) transcription requests.-
OutputBucketName
— (String
)The name of the Amazon S3 bucket where you want your medical transcription output stored. Do not include the
S3://
prefix of the specified bucket.If you want your output to go to a sub-folder of this bucket, specify it using the
OutputKey
parameter;OutputBucketName
only accepts the name of a bucket.For example, if you want your output stored in
S3://DOC-EXAMPLE-BUCKET
, setOutputBucketName
toDOC-EXAMPLE-BUCKET
. However, if you want your output stored inS3://DOC-EXAMPLE-BUCKET/test-files/
, setOutputBucketName
toDOC-EXAMPLE-BUCKET
andOutputKey
totest-files/
.Note that Amazon Transcribe must have permission to use the specified location. You can change Amazon S3 permissions using the Amazon Web Services Management Console. See also Permissions Required for IAM User Roles.
OutputKey
— (String
)Use in combination with
OutputBucketName
to specify the output location of your transcript and, optionally, a unique name for your output file. The default name for your transcription output is the same as the name you specified for your medical transcription job (MedicalTranscriptionJobName
).Here are some examples of how you can use
OutputKey
:-
If you specify 'DOC-EXAMPLE-BUCKET' as the
OutputBucketName
and 'my-transcript.json' as theOutputKey
, your transcription output path iss3://DOC-EXAMPLE-BUCKET/my-transcript.json
. -
If you specify 'my-first-transcription' as the
MedicalTranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as theOutputBucketName
, and 'my-transcript' as theOutputKey
, your transcription output path iss3://DOC-EXAMPLE-BUCKET/my-transcript/my-first-transcription.json
. -
If you specify 'DOC-EXAMPLE-BUCKET' as the
OutputBucketName
and 'test-files/my-transcript.json' as theOutputKey
, your transcription output path iss3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json
. -
If you specify 'my-first-transcription' as the
MedicalTranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as theOutputBucketName
, and 'test-files/my-transcript' as theOutputKey
, your transcription output path iss3://DOC-EXAMPLE-BUCKET/test-files/my-transcript/my-first-transcription.json
.
If you specify the name of an Amazon S3 bucket sub-folder that doesn't exist, one is created for you.
-
OutputEncryptionKMSKeyId
— (String
)The KMS key you want to use to encrypt your medical transcription output.
If using a key located in the current Amazon Web Services account, you can specify your KMS key in one of four ways:
-
Use the KMS key ID itself. For example,
1234abcd-12ab-34cd-56ef-1234567890ab
. -
Use an alias for the KMS key ID. For example,
alias/ExampleAlias
. -
Use the Amazon Resource Name (ARN) for the KMS key ID. For example,
arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab
. -
Use the ARN for the KMS key alias. For example,
arn:aws:kms:region:account-ID:alias/ExampleAlias
.
If using a key located in a different Amazon Web Services account than the current Amazon Web Services account, you can specify your KMS key in one of two ways:
-
Use the ARN for the KMS key ID. For example,
arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab
. -
Use the ARN for the KMS key alias. For example,
arn:aws:kms:region:account-ID:alias/ExampleAlias
.
If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).
If you specify a KMS key to encrypt your output, you must also specify an output location using the
OutputLocation
parameter.Note that the role making the request must have permission to use the specified KMS key.
-
KMSEncryptionContext
— (map<String>
)A map of plain text, non-secret key:value pairs, known as encryption context pairs, that provide an added layer of security for your data. For more information, see KMS encryption context and Asymmetric keys in KMS.
Settings
— (map
)Specify additional optional settings in your request, including channel identification, alternative transcriptions, and speaker partitioning. You can use that to apply custom vocabularies to your transcription job.
ShowSpeakerLabels
— (Boolean
)Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.
If you enable
ShowSpeakerLabels
in your request, you must also includeMaxSpeakerLabels
.For more information, see Partitioning speakers (diarization).
MaxSpeakerLabels
— (Integer
)Specify the maximum number of speakers you want to partition in your media.
Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.
If you specify the
MaxSpeakerLabels
field, you must set theShowSpeakerLabels
field to true.ChannelIdentification
— (Boolean
)Enables channel identification in multi-channel audio.
Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.
If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript does not separate the speech by channel.
For more information, see Transcribing multi-channel audio.
ShowAlternatives
— (Boolean
)To include alternative transcriptions within your transcription output, include
ShowAlternatives
in your transcription request.If you include
ShowAlternatives
, you must also includeMaxAlternatives
, which is the maximum number of alternative transcriptions you want Amazon Transcribe Medical to generate.For more information, see Alternative transcriptions.
MaxAlternatives
— (Integer
)Indicate the maximum number of alternative transcriptions you want Amazon Transcribe Medical to include in your transcript.
If you select a number greater than the number of alternative transcriptions generated by Amazon Transcribe Medical, only the actual number of alternative transcriptions are included.
If you include
MaxAlternatives
in your request, you must also includeShowAlternatives
with a value oftrue
.For more information, see Alternative transcriptions.
VocabularyName
— (String
)The name of the custom vocabulary you want to use when processing your medical transcription job. Custom vocabulary names are case sensitive.
The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch. US English (
en-US
) is the only valid language for Amazon Transcribe Medical.
ContentIdentificationType
— (String
)Labels all personal health information (PHI) identified in your transcript. For more information, see Identifying personal health information (PHI) in a transcription.
Possible values include:"PHI"
Specialty
— (String
)Specify the predominant medical specialty represented in your media. For batch transcriptions,
Possible values include:PRIMARYCARE
is the only valid value. If you require additional specialties, refer to ."PRIMARYCARE"
Type
— (String
)Specify whether your input media contains only one person (
DICTATION
) or contains a conversation between two people (CONVERSATION
).For example,
Possible values include:DICTATION
could be used for a medical professional wanting to transcribe voice memos;CONVERSATION
could be used for transcribing the doctor-patient dialogue during the patient's office visit."CONVERSATION"
"DICTATION"
Tags
— (Array<map>
)Adds one or more custom tags, each in the form of a key:value pair, to a new medical transcription job at the time you start this new job.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
Key
— required — (String
)The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the key is 'Department'.Value
— required — (String
)The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the value is 'Sales'.Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:MedicalTranscriptionJob
— (map
)Provides detailed information about the current medical transcription job, including job status and, if applicable, failure reason.
MedicalTranscriptionJobName
— (String
)The name of the medical transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.
TranscriptionJobStatus
— (String
)Provides the status of the specified medical transcription job.
If the status is
Possible values include:COMPLETED
, the job is finished and you can find the results at the location specified inTranscriptFileUri
. If the status isFAILED
,FailureReason
provides details on why your transcription job failed."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
LanguageCode
— (String
)The language code used to create your medical transcription job. US English (
Possible values include:en-US
) is the only supported language for medical transcriptions."af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
MediaSampleRateHertz
— (Integer
)The sample rate, in hertz, of the audio track in your input media file.
MediaFormat
— (String
)The format of the input media file.
Possible values include:"mp3"
"mp4"
"wav"
"flac"
"ogg"
"amr"
"webm"
"m4a"
Media
— (map
)Describes the Amazon S3 location of the media file you want to use in your request.
For information on supported media formats, refer to the
MediaFormat
parameter or the Media formats section in the Amazon S3 Developer Guide.MediaFileUri
— (String
)The Amazon S3 location of the media file you want to transcribe. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
-
RedactedMediaFileUri
— (String
)The Amazon S3 location of the media file you want to redact. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
RedactedMediaFileUri
produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob
) transcription requests.-
Transcript
— (map
)Provides you with the Amazon S3 URI you can use to access your transcript.
TranscriptFileUri
— (String
)The Amazon S3 location of your transcript. You can use this URI to access or download your transcript.
Note that this is the Amazon S3 location you specified in your request using the
OutputBucketName
parameter.
StartTime
— (Date
)The date and time the specified medical transcription job began processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.789000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.CreationTime
— (Date
)The date and time the specified medical transcription job request was made.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.CompletionTime
— (Date
)The date and time the specified medical transcription job finished processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:33:13.922000-07:00
represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.FailureReason
— (String
)If
TranscriptionJobStatus
isFAILED
,FailureReason
contains information about why the transcription job request failed.The
FailureReason
field contains one of the following values:-
Unsupported media format
.The media format specified in
MediaFormat
isn't valid. Refer to refer to theMediaFormat
parameter for a list of supported formats. -
The media format provided does not match the detected media format
.The media format specified in
MediaFormat
doesn't match the format of the input file. Check the media format of your media file and correct the specified value. -
Invalid sample rate for audio file
.The sample rate specified in
MediaSampleRateHertz
isn't valid. The sample rate must be between 16,000 and 48,000 hertz. -
The sample rate provided does not match the detected sample rate
.The sample rate specified in
MediaSampleRateHertz
doesn't match the sample rate detected in your input media file. Check the sample rate of your media file and correct the specified value. -
Invalid file size: file size too large
.The size of your media file is larger than what Amazon Transcribe can process. For more information, refer to Service quotas.
-
Invalid number of channels: number of channels too large
.Your audio contains more channels than Amazon Transcribe is able to process. For more information, refer to Service quotas.
-
Settings
— (map
)Provides information on any additional settings that were included in your request. Additional settings include channel identification, alternative transcriptions, speaker partitioning, custom vocabularies, and custom vocabulary filters.
ShowSpeakerLabels
— (Boolean
)Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.
If you enable
ShowSpeakerLabels
in your request, you must also includeMaxSpeakerLabels
.For more information, see Partitioning speakers (diarization).
MaxSpeakerLabels
— (Integer
)Specify the maximum number of speakers you want to partition in your media.
Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.
If you specify the
MaxSpeakerLabels
field, you must set theShowSpeakerLabels
field to true.ChannelIdentification
— (Boolean
)Enables channel identification in multi-channel audio.
Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.
If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript does not separate the speech by channel.
For more information, see Transcribing multi-channel audio.
ShowAlternatives
— (Boolean
)To include alternative transcriptions within your transcription output, include
ShowAlternatives
in your transcription request.If you include
ShowAlternatives
, you must also includeMaxAlternatives
, which is the maximum number of alternative transcriptions you want Amazon Transcribe Medical to generate.For more information, see Alternative transcriptions.
MaxAlternatives
— (Integer
)Indicate the maximum number of alternative transcriptions you want Amazon Transcribe Medical to include in your transcript.
If you select a number greater than the number of alternative transcriptions generated by Amazon Transcribe Medical, only the actual number of alternative transcriptions are included.
If you include
MaxAlternatives
in your request, you must also includeShowAlternatives
with a value oftrue
.For more information, see Alternative transcriptions.
VocabularyName
— (String
)The name of the custom vocabulary you want to use when processing your medical transcription job. Custom vocabulary names are case sensitive.
The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch. US English (
en-US
) is the only valid language for Amazon Transcribe Medical.
ContentIdentificationType
— (String
)Indicates whether content identification was enabled for your transcription request.
Possible values include:"PHI"
Specialty
— (String
)Describes the medical specialty represented in your media.
Possible values include:"PRIMARYCARE"
Type
— (String
)Indicates whether the input media is a dictation or a conversation, as specified in the
Possible values include:StartMedicalTranscriptionJob
request."CONVERSATION"
"DICTATION"
Tags
— (Array<map>
)The tags, each in the form of a key:value pair, assigned to the specified medical transcription job.
Key
— required — (String
)The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the key is 'Department'.Value
— required — (String
)The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the value is 'Sales'.Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
-
(AWS.Response)
—
Returns:
startTranscriptionJob(params = {}, callback) ⇒ AWS.Request
Transcribes the audio from a media file and applies any additional Request Parameters you choose to include in your request.
To make a StartTranscriptionJob
request, you must first upload your media file into an Amazon S3 bucket; you can then specify the Amazon S3 location of the file using the Media
parameter.
You must include the following parameters in your StartTranscriptionJob
request:
-
region
: The Amazon Web Services Region where you are making your request. For a list of Amazon Web Services Regions supported with Amazon Transcribe, refer to Amazon Transcribe endpoints and quotas. -
TranscriptionJobName
: A custom name you create for your transcription job that is unique within your Amazon Web Services account. -
Media
(MediaFileUri
): The Amazon S3 location of your media file. -
One of
LanguageCode
,IdentifyLanguage
, orIdentifyMultipleLanguages
: If you know the language of your media file, specify it using theLanguageCode
parameter; you can find all valid language codes in the Supported languages table. If you do not know the languages spoken in your media, use eitherIdentifyLanguage
orIdentifyMultipleLanguages
and let Amazon Transcribe identify the languages for you.
Service Reference:
Examples:
Calling the startTranscriptionJob operation
var params = {
Media: { /* required */
MediaFileUri: 'STRING_VALUE',
RedactedMediaFileUri: 'STRING_VALUE'
},
TranscriptionJobName: 'STRING_VALUE', /* required */
ContentRedaction: {
RedactionOutput: redacted | redacted_and_unredacted, /* required */
RedactionType: PII, /* required */
PiiEntityTypes: [
BANK_ACCOUNT_NUMBER | BANK_ROUTING | CREDIT_DEBIT_NUMBER | CREDIT_DEBIT_CVV | CREDIT_DEBIT_EXPIRY | PIN | EMAIL | ADDRESS | NAME | PHONE | SSN | ALL,
/* more items */
]
},
IdentifyLanguage: true || false,
IdentifyMultipleLanguages: true || false,
JobExecutionSettings: {
AllowDeferredExecution: true || false,
DataAccessRoleArn: 'STRING_VALUE'
},
KMSEncryptionContext: {
'<NonEmptyString>': 'STRING_VALUE',
/* '<NonEmptyString>': ... */
},
LanguageCode: af-ZA | ar-AE | ar-SA | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN | zh-TW | th-TH | en-ZA | en-NZ | vi-VN | sv-SE | ab-GE | ast-ES | az-AZ | ba-RU | be-BY | bg-BG | bn-IN | bs-BA | ca-ES | ckb-IQ | ckb-IR | cs-CZ | cy-WL | el-GR | et-ET | eu-ES | fi-FI | gl-ES | gu-IN | ha-NG | hr-HR | hu-HU | hy-AM | is-IS | ka-GE | kab-DZ | kk-KZ | kn-IN | ky-KG | lg-IN | lt-LT | lv-LV | mhr-RU | mi-NZ | mk-MK | ml-IN | mn-MN | mr-IN | mt-MT | no-NO | or-IN | pa-IN | pl-PL | ps-AF | ro-RO | rw-RW | si-LK | sk-SK | sl-SI | so-SO | sr-RS | su-ID | sw-BI | sw-KE | sw-RW | sw-TZ | sw-UG | tl-PH | tt-RU | ug-CN | uk-UA | uz-UZ | wo-SN | zu-ZA,
LanguageIdSettings: {
'<LanguageCode>': {
LanguageModelName: 'STRING_VALUE',
VocabularyFilterName: 'STRING_VALUE',
VocabularyName: 'STRING_VALUE'
},
/* '<LanguageCode>': ... */
},
LanguageOptions: [
af-ZA | ar-AE | ar-SA | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN | zh-TW | th-TH | en-ZA | en-NZ | vi-VN | sv-SE | ab-GE | ast-ES | az-AZ | ba-RU | be-BY | bg-BG | bn-IN | bs-BA | ca-ES | ckb-IQ | ckb-IR | cs-CZ | cy-WL | el-GR | et-ET | eu-ES | fi-FI | gl-ES | gu-IN | ha-NG | hr-HR | hu-HU | hy-AM | is-IS | ka-GE | kab-DZ | kk-KZ | kn-IN | ky-KG | lg-IN | lt-LT | lv-LV | mhr-RU | mi-NZ | mk-MK | ml-IN | mn-MN | mr-IN | mt-MT | no-NO | or-IN | pa-IN | pl-PL | ps-AF | ro-RO | rw-RW | si-LK | sk-SK | sl-SI | so-SO | sr-RS | su-ID | sw-BI | sw-KE | sw-RW | sw-TZ | sw-UG | tl-PH | tt-RU | ug-CN | uk-UA | uz-UZ | wo-SN | zu-ZA,
/* more items */
],
MediaFormat: mp3 | mp4 | wav | flac | ogg | amr | webm | m4a,
MediaSampleRateHertz: 'NUMBER_VALUE',
ModelSettings: {
LanguageModelName: 'STRING_VALUE'
},
OutputBucketName: 'STRING_VALUE',
OutputEncryptionKMSKeyId: 'STRING_VALUE',
OutputKey: 'STRING_VALUE',
Settings: {
ChannelIdentification: true || false,
MaxAlternatives: 'NUMBER_VALUE',
MaxSpeakerLabels: 'NUMBER_VALUE',
ShowAlternatives: true || false,
ShowSpeakerLabels: true || false,
VocabularyFilterMethod: remove | mask | tag,
VocabularyFilterName: 'STRING_VALUE',
VocabularyName: 'STRING_VALUE'
},
Subtitles: {
Formats: [
vtt | srt,
/* more items */
],
OutputStartIndex: 'NUMBER_VALUE'
},
Tags: [
{
Key: 'STRING_VALUE', /* required */
Value: 'STRING_VALUE' /* required */
},
/* more items */
],
ToxicityDetection: [
{
ToxicityCategories: [ /* required */
ALL,
/* more items */
]
},
/* more items */
]
};
transcribeservice.startTranscriptionJob(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
TranscriptionJobName
— (String
)A unique name, chosen by you, for your transcription job. The name that you specify is also used as the default name of your transcription output file. If you want to specify a different name for your transcription output, use the
OutputKey
parameter.This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a
ConflictException
error.LanguageCode
— (String
)The language code that represents the language spoken in the input media file.
If you're unsure of the language spoken in your media file, consider using
IdentifyLanguage
orIdentifyMultipleLanguages
to enable automatic language identification.Note that you must include one of
LanguageCode
,IdentifyLanguage
, orIdentifyMultipleLanguages
in your request. If you include more than one of these parameters, your transcription job fails.For a list of supported languages and their associated language codes, refer to the Supported languages table.
Note: To transcribe speech in Modern Standard Arabic (Possible values include:ar-SA
), your media file must be encoded at a sample rate of 16,000 Hz or higher."af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
MediaSampleRateHertz
— (Integer
)The sample rate, in hertz, of the audio track in your input media file.
If you do not specify the media sample rate, Amazon Transcribe determines it for you. If you specify the sample rate, it must match the rate detected by Amazon Transcribe. If there's a mismatch between the value that you specify and the value detected, your job fails. In most cases, you can omit
MediaSampleRateHertz
and let Amazon Transcribe determine the sample rate.MediaFormat
— (String
)Specify the format of your input media file.
Possible values include:"mp3"
"mp4"
"wav"
"flac"
"ogg"
"amr"
"webm"
"m4a"
Media
— (map
)Describes the Amazon S3 location of the media file you want to use in your request.
MediaFileUri
— (String
)The Amazon S3 location of the media file you want to transcribe. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
-
RedactedMediaFileUri
— (String
)The Amazon S3 location of the media file you want to redact. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
RedactedMediaFileUri
produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob
) transcription requests.-
OutputBucketName
— (String
)The name of the Amazon S3 bucket where you want your transcription output stored. Do not include the
S3://
prefix of the specified bucket.If you want your output to go to a sub-folder of this bucket, specify it using the
OutputKey
parameter;OutputBucketName
only accepts the name of a bucket.For example, if you want your output stored in
S3://DOC-EXAMPLE-BUCKET
, setOutputBucketName
toDOC-EXAMPLE-BUCKET
. However, if you want your output stored inS3://DOC-EXAMPLE-BUCKET/test-files/
, setOutputBucketName
toDOC-EXAMPLE-BUCKET
andOutputKey
totest-files/
.Note that Amazon Transcribe must have permission to use the specified location. You can change Amazon S3 permissions using the Amazon Web Services Management Console. See also Permissions Required for IAM User Roles.
If you do not specify
OutputBucketName
, your transcript is placed in a service-managed Amazon S3 bucket and you are provided with a URI to access your transcript.OutputKey
— (String
)Use in combination with
OutputBucketName
to specify the output location of your transcript and, optionally, a unique name for your output file. The default name for your transcription output is the same as the name you specified for your transcription job (TranscriptionJobName
).Here are some examples of how you can use
OutputKey
:-
If you specify 'DOC-EXAMPLE-BUCKET' as the
OutputBucketName
and 'my-transcript.json' as theOutputKey
, your transcription output path iss3://DOC-EXAMPLE-BUCKET/my-transcript.json
. -
If you specify 'my-first-transcription' as the
TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as theOutputBucketName
, and 'my-transcript' as theOutputKey
, your transcription output path iss3://DOC-EXAMPLE-BUCKET/my-transcript/my-first-transcription.json
. -
If you specify 'DOC-EXAMPLE-BUCKET' as the
OutputBucketName
and 'test-files/my-transcript.json' as theOutputKey
, your transcription output path iss3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json
. -
If you specify 'my-first-transcription' as the
TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as theOutputBucketName
, and 'test-files/my-transcript' as theOutputKey
, your transcription output path iss3://DOC-EXAMPLE-BUCKET/test-files/my-transcript/my-first-transcription.json
.
If you specify the name of an Amazon S3 bucket sub-folder that doesn't exist, one is created for you.
-
OutputEncryptionKMSKeyId
— (String
)The KMS key you want to use to encrypt your transcription output.
If using a key located in the current Amazon Web Services account, you can specify your KMS key in one of four ways:
-
Use the KMS key ID itself. For example,
1234abcd-12ab-34cd-56ef-1234567890ab
. -
Use an alias for the KMS key ID. For example,
alias/ExampleAlias
. -
Use the Amazon Resource Name (ARN) for the KMS key ID. For example,
arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab
. -
Use the ARN for the KMS key alias. For example,
arn:aws:kms:region:account-ID:alias/ExampleAlias
.
If using a key located in a different Amazon Web Services account than the current Amazon Web Services account, you can specify your KMS key in one of two ways:
-
Use the ARN for the KMS key ID. For example,
arn:aws:kms:region:account-ID:key/1234abcd-12ab-34cd-56ef-1234567890ab
. -
Use the ARN for the KMS key alias. For example,
arn:aws:kms:region:account-ID:alias/ExampleAlias
.
If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3).
If you specify a KMS key to encrypt your output, you must also specify an output location using the
OutputLocation
parameter.Note that the role making the request must have permission to use the specified KMS key.
-
KMSEncryptionContext
— (map<String>
)A map of plain text, non-secret key:value pairs, known as encryption context pairs, that provide an added layer of security for your data. For more information, see KMS encryption context and Asymmetric keys in KMS.
Settings
— (map
)Specify additional optional settings in your request, including channel identification, alternative transcriptions, speaker partitioning. You can use that to apply custom vocabularies and vocabulary filters.
If you want to include a custom vocabulary or a custom vocabulary filter (or both) with your request but do not want to use automatic language identification, use
Settings
with theVocabularyName
orVocabularyFilterName
(or both) sub-parameter.If you're using automatic language identification with your request and want to include a custom language model, a custom vocabulary, or a custom vocabulary filter, use instead the
parameter with the
LanguageModelName
,VocabularyName
orVocabularyFilterName
sub-parameters.VocabularyName
— (String
)The name of the custom vocabulary you want to use in your transcription job request. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
ShowSpeakerLabels
— (Boolean
)Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.
If you enable
ShowSpeakerLabels
in your request, you must also includeMaxSpeakerLabels
.For more information, see Partitioning speakers (diarization).
MaxSpeakerLabels
— (Integer
)Specify the maximum number of speakers you want to partition in your media.
Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.
If you specify the
MaxSpeakerLabels
field, you must set theShowSpeakerLabels
field to true.ChannelIdentification
— (Boolean
)Enables channel identification in multi-channel audio.
Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.
For more information, see Transcribing multi-channel audio.
ShowAlternatives
— (Boolean
)To include alternative transcriptions within your transcription output, include
ShowAlternatives
in your transcription request.If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript does not separate the speech by channel.
If you include
ShowAlternatives
, you must also includeMaxAlternatives
, which is the maximum number of alternative transcriptions you want Amazon Transcribe to generate.For more information, see Alternative transcriptions.
MaxAlternatives
— (Integer
)Indicate the maximum number of alternative transcriptions you want Amazon Transcribe to include in your transcript.
If you select a number greater than the number of alternative transcriptions generated by Amazon Transcribe, only the actual number of alternative transcriptions are included.
If you include
MaxAlternatives
in your request, you must also includeShowAlternatives
with a value oftrue
.For more information, see Alternative transcriptions.
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to use in your transcription job request. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
Note that if you include
VocabularyFilterName
in your request, you must also includeVocabularyFilterMethod
.VocabularyFilterMethod
— (String
)Specify how you want your custom vocabulary filter applied to your transcript.
To replace words with
***
, choosemask
.To delete words, choose
remove
.To flag words without changing them, choose
Possible values include:tag
."remove"
"mask"
"tag"
ModelSettings
— (map
)Specify the custom language model you want to include with your transcription job. If you include
ModelSettings
in your request, you must include theLanguageModelName
sub-parameter.For more information, see Custom language models.
LanguageModelName
— (String
)The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive.
The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
JobExecutionSettings
— (map
)Makes it possible to control how your transcription job is processed. Currently, the only
JobExecutionSettings
modification you can choose is enabling job queueing using theAllowDeferredExecution
sub-parameter.If you include
JobExecutionSettings
in your request, you must also include the sub-parameters:AllowDeferredExecution
andDataAccessRoleArn
.AllowDeferredExecution
— (Boolean
)Makes it possible to enable job queuing when your concurrent request limit is exceeded. When
AllowDeferredExecution
is set totrue
, transcription job requests are placed in a queue until the number of jobs falls below the concurrent request limit. IfAllowDeferredExecution
is set tofalse
and the number of transcription job requests exceed the concurrent request limit, you get aLimitExceededException
error.If you include
AllowDeferredExecution
in your request, you must also includeDataAccessRoleArn
.DataAccessRoleArn
— (String
)The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.
IAM role ARNs have the format
arn:partition:iam::account:role/role-name-with-path
. For example:arn:aws:iam::111122223333:role/Admin
. For more information, see IAM ARNs.Note that if you include
DataAccessRoleArn
in your request, you must also includeAllowDeferredExecution
.
ContentRedaction
— (map
)Makes it possible to redact or flag specified personally identifiable information (PII) in your transcript. If you use
ContentRedaction
, you must also include the sub-parameters:RedactionOutput
andRedactionType
. You can optionally includePiiEntityTypes
to choose which types of PII you want to redact. If you do not includePiiEntityTypes
in your request, all PII is redacted.RedactionType
— required — (String
)Specify the category of information you want to redact;
Possible values include:PII
(personally identifiable information) is the only valid value. You can usePiiEntityTypes
to choose which types of PII you want to redact. If you do not includePiiEntityTypes
in your request, all PII is redacted."PII"
RedactionOutput
— required — (String
)Specify if you want only a redacted transcript, or if you want a redacted and an unredacted transcript.
When you choose
redacted
Amazon Transcribe creates only a redacted transcript.When you choose
Possible values include:redacted_and_unredacted
Amazon Transcribe creates a redacted and an unredacted transcript (as two separate files)."redacted"
"redacted_and_unredacted"
PiiEntityTypes
— (Array<String>
)Specify which types of personally identifiable information (PII) you want to redact in your transcript. You can include as many types as you'd like, or you can select
ALL
. If you do not includePiiEntityTypes
in your request, all PII is redacted.
IdentifyLanguage
— (Boolean
)Enables automatic language identification in your transcription job request. Use this parameter if your media file contains only one language. If your media contains multiple languages, use
IdentifyMultipleLanguages
instead.If you include
IdentifyLanguage
, you can optionally include a list of language codes, usingLanguageOptions
, that you think may be present in your media file. IncludingLanguageOptions
restrictsIdentifyLanguage
to only the language options that you specify, which can improve transcription accuracy.If you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter to your automatic language identification request, include
LanguageIdSettings
with the relevant sub-parameters (VocabularyName
,LanguageModelName
, andVocabularyFilterName
). If you includeLanguageIdSettings
, also includeLanguageOptions
.Note that you must include one of
LanguageCode
,IdentifyLanguage
, orIdentifyMultipleLanguages
in your request. If you include more than one of these parameters, your transcription job fails.IdentifyMultipleLanguages
— (Boolean
)Enables automatic multi-language identification in your transcription job request. Use this parameter if your media file contains more than one language. If your media contains only one language, use
IdentifyLanguage
instead.If you include
IdentifyMultipleLanguages
, you can optionally include a list of language codes, usingLanguageOptions
, that you think may be present in your media file. IncludingLanguageOptions
restrictsIdentifyLanguage
to only the language options that you specify, which can improve transcription accuracy.If you want to apply a custom vocabulary or a custom vocabulary filter to your automatic language identification request, include
LanguageIdSettings
with the relevant sub-parameters (VocabularyName
andVocabularyFilterName
). If you includeLanguageIdSettings
, also includeLanguageOptions
.Note that you must include one of
LanguageCode
,IdentifyLanguage
, orIdentifyMultipleLanguages
in your request. If you include more than one of these parameters, your transcription job fails.LanguageOptions
— (Array<String>
)You can specify two or more language codes that represent the languages you think may be present in your media. Including more than five is not recommended. If you're unsure what languages are present, do not include this parameter.
If you include
LanguageOptions
in your request, you must also includeIdentifyLanguage
.For more information, refer to Supported languages.
To transcribe speech in Modern Standard Arabic (
ar-SA
), your media file must be encoded at a sample rate of 16,000 Hz or higher.Subtitles
— (map
)Produces subtitle files for your input media. You can specify WebVTT (.vtt) and SubRip (.srt) formats.
Formats
— (Array<String>
)Specify the output format for your subtitle file; if you select both WebVTT (
vtt
) and SubRip (srt
) formats, two output files are generated.OutputStartIndex
— (Integer
)Specify the starting value that is assigned to the first subtitle segment.
The default start index for Amazon Transcribe is
0
, which differs from the more widely used standard of1
. If you're uncertain which value to use, we recommend choosing1
, as this may improve compatibility with other services.
Tags
— (Array<map>
)Adds one or more custom tags, each in the form of a key:value pair, to a new transcription job at the time you start this new job.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
Key
— required — (String
)The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the key is 'Department'.Value
— required — (String
)The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the value is 'Sales'.Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
LanguageIdSettings
— (map<map>
)If using automatic language identification in your request and you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter, include
LanguageIdSettings
with the relevant sub-parameters (VocabularyName
,LanguageModelName
, andVocabularyFilterName
). Note that multi-language identification (IdentifyMultipleLanguages
) doesn't support custom language models.LanguageIdSettings
supports two to five language codes. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The language codes that you specify must match the languages of the associated custom language models, custom vocabularies, and custom vocabulary filters.It's recommended that you include
LanguageOptions
when usingLanguageIdSettings
to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is inen-US
but Amazon Transcribe determines that the language spoken in your media isen-AU
, your custom vocabulary is not applied to your transcription. If you includeLanguageOptions
and includeen-US
as the only English language dialect, your custom vocabulary is applied to your transcription.If you want to include a custom language model with your request but do not want to use automatic language identification, use instead the
parameter with the
LanguageModelName
sub-parameter. If you want to include a custom vocabulary or a custom vocabulary filter (or both) with your request but do not want to use automatic language identification, use instead theparameter with the
VocabularyName
orVocabularyFilterName
(or both) sub-parameter.VocabularyName
— (String
)The name of the custom vocabulary you want to use when processing your transcription job. Custom vocabulary names are case sensitive.
The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch.
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to use when processing your transcription job. Custom vocabulary filter names are case sensitive.
The language of the specified custom vocabulary filter must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary filter isn't applied. There are no errors or warnings associated with a language mismatch.
Note that if you include
VocabularyFilterName
in your request, you must also includeVocabularyFilterMethod
.LanguageModelName
— (String
)The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive.
The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
ToxicityDetection
— (Array<map>
)Enables toxic speech detection in your transcript. If you include
ToxicityDetection
in your request, you must also includeToxicityCategories
.For information on the types of toxic speech Amazon Transcribe can detect, see Detecting toxic speech.
ToxicityCategories
— required — (Array<String>
)If you include
ToxicityDetection
in your transcription request, you must also includeToxicityCategories
. The only accepted value for this parameter isALL
.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:TranscriptionJob
— (map
)Provides detailed information about the current transcription job, including job status and, if applicable, failure reason.
TranscriptionJobName
— (String
)The name of the transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.
TranscriptionJobStatus
— (String
)Provides the status of the specified transcription job.
If the status is
Possible values include:COMPLETED
, the job is finished and you can find the results at the location specified inTranscriptFileUri
(orRedactedTranscriptFileUri
, if you requested transcript redaction). If the status isFAILED
,FailureReason
provides details on why your transcription job failed."QUEUED"
"IN_PROGRESS"
"FAILED"
"COMPLETED"
LanguageCode
— (String
)The language code used to create your transcription job. This parameter is used with single-language identification. For multi-language identification requests, refer to the plural version of this parameter,
Possible values include:LanguageCodes
."af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
MediaSampleRateHertz
— (Integer
)The sample rate, in hertz, of the audio track in your input media file.
MediaFormat
— (String
)The format of the input media file.
Possible values include:"mp3"
"mp4"
"wav"
"flac"
"ogg"
"amr"
"webm"
"m4a"
Media
— (map
)Provides the Amazon S3 location of the media file you used in your request.
MediaFileUri
— (String
)The Amazon S3 location of the media file you want to transcribe. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
-
RedactedMediaFileUri
— (String
)The Amazon S3 location of the media file you want to redact. For example:
-
s3://DOC-EXAMPLE-BUCKET/my-media-file.flac
-
s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac
Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
RedactedMediaFileUri
produces a redacted audio file in addition to a redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob
) transcription requests.-
Transcript
— (map
)Provides you with the Amazon S3 URI you can use to access your transcript.
TranscriptFileUri
— (String
)The Amazon S3 location of your transcript. You can use this URI to access or download your transcript.
If you included
OutputBucketName
in your transcription job request, this is the URI of that bucket. If you also includedOutputKey
in your request, your output is located in the path you specified in your request.If you didn't include
OutputBucketName
in your transcription job request, your transcript is stored in a service-managed bucket, andTranscriptFileUri
provides you with a temporary URI you can use for secure access to your transcript.Note: Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get anAccesDenied
error, you can get a new temporary URI by running aGetTranscriptionJob
orListTranscriptionJob
request.RedactedTranscriptFileUri
— (String
)The Amazon S3 location of your redacted transcript. You can use this URI to access or download your transcript.
If you included
OutputBucketName
in your transcription job request, this is the URI of that bucket. If you also includedOutputKey
in your request, your output is located in the path you specified in your request.If you didn't include
OutputBucketName
in your transcription job request, your transcript is stored in a service-managed bucket, andRedactedTranscriptFileUri
provides you with a temporary URI you can use for secure access to your transcript.Note: Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get anAccesDenied
error, you can get a new temporary URI by running aGetTranscriptionJob
orListTranscriptionJob
request.
StartTime
— (Date
)The date and time the specified transcription job began processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.789000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.CreationTime
— (Date
)The date and time the specified transcription job request was made.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.CompletionTime
— (Date
)The date and time the specified transcription job finished processing.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:33:13.922000-07:00
represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.FailureReason
— (String
)If
TranscriptionJobStatus
isFAILED
,FailureReason
contains information about why the transcription job request failed.The
FailureReason
field contains one of the following values:-
Unsupported media format
.The media format specified in
MediaFormat
isn't valid. Refer to refer to theMediaFormat
parameter for a list of supported formats. -
The media format provided does not match the detected media format
.The media format specified in
MediaFormat
doesn't match the format of the input file. Check the media format of your media file and correct the specified value. -
Invalid sample rate for audio file
.The sample rate specified in
MediaSampleRateHertz
isn't valid. The sample rate must be between 8,000 and 48,000 hertz. -
The sample rate provided does not match the detected sample rate
.The sample rate specified in
MediaSampleRateHertz
doesn't match the sample rate detected in your input media file. Check the sample rate of your media file and correct the specified value. -
Invalid file size: file size too large
.The size of your media file is larger than what Amazon Transcribe can process. For more information, refer to Service quotas.
-
Invalid number of channels: number of channels too large
.Your audio contains more channels than Amazon Transcribe is able to process. For more information, refer to Service quotas.
-
Settings
— (map
)Provides information on any additional settings that were included in your request. Additional settings include channel identification, alternative transcriptions, speaker partitioning, custom vocabularies, and custom vocabulary filters.
VocabularyName
— (String
)The name of the custom vocabulary you want to use in your transcription job request. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
ShowSpeakerLabels
— (Boolean
)Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.
If you enable
ShowSpeakerLabels
in your request, you must also includeMaxSpeakerLabels
.For more information, see Partitioning speakers (diarization).
MaxSpeakerLabels
— (Integer
)Specify the maximum number of speakers you want to partition in your media.
Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker.
If you specify the
MaxSpeakerLabels
field, you must set theShowSpeakerLabels
field to true.ChannelIdentification
— (Boolean
)Enables channel identification in multi-channel audio.
Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.
For more information, see Transcribing multi-channel audio.
ShowAlternatives
— (Boolean
)To include alternative transcriptions within your transcription output, include
ShowAlternatives
in your transcription request.If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript does not separate the speech by channel.
If you include
ShowAlternatives
, you must also includeMaxAlternatives
, which is the maximum number of alternative transcriptions you want Amazon Transcribe to generate.For more information, see Alternative transcriptions.
MaxAlternatives
— (Integer
)Indicate the maximum number of alternative transcriptions you want Amazon Transcribe to include in your transcript.
If you select a number greater than the number of alternative transcriptions generated by Amazon Transcribe, only the actual number of alternative transcriptions are included.
If you include
MaxAlternatives
in your request, you must also includeShowAlternatives
with a value oftrue
.For more information, see Alternative transcriptions.
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to use in your transcription job request. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
Note that if you include
VocabularyFilterName
in your request, you must also includeVocabularyFilterMethod
.VocabularyFilterMethod
— (String
)Specify how you want your custom vocabulary filter applied to your transcript.
To replace words with
***
, choosemask
.To delete words, choose
remove
.To flag words without changing them, choose
Possible values include:tag
."remove"
"mask"
"tag"
ModelSettings
— (map
)Provides information on the custom language model you included in your request.
LanguageModelName
— (String
)The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive.
The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
JobExecutionSettings
— (map
)Provides information about how your transcription job was processed. This parameter shows if your request was queued and what data access role was used.
AllowDeferredExecution
— (Boolean
)Makes it possible to enable job queuing when your concurrent request limit is exceeded. When
AllowDeferredExecution
is set totrue
, transcription job requests are placed in a queue until the number of jobs falls below the concurrent request limit. IfAllowDeferredExecution
is set tofalse
and the number of transcription job requests exceed the concurrent request limit, you get aLimitExceededException
error.If you include
AllowDeferredExecution
in your request, you must also includeDataAccessRoleArn
.DataAccessRoleArn
— (String
)The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.
IAM role ARNs have the format
arn:partition:iam::account:role/role-name-with-path
. For example:arn:aws:iam::111122223333:role/Admin
. For more information, see IAM ARNs.Note that if you include
DataAccessRoleArn
in your request, you must also includeAllowDeferredExecution
.
ContentRedaction
— (map
)Indicates whether redaction was enabled in your transcript.
RedactionType
— required — (String
)Specify the category of information you want to redact;
Possible values include:PII
(personally identifiable information) is the only valid value. You can usePiiEntityTypes
to choose which types of PII you want to redact. If you do not includePiiEntityTypes
in your request, all PII is redacted."PII"
RedactionOutput
— required — (String
)Specify if you want only a redacted transcript, or if you want a redacted and an unredacted transcript.
When you choose
redacted
Amazon Transcribe creates only a redacted transcript.When you choose
Possible values include:redacted_and_unredacted
Amazon Transcribe creates a redacted and an unredacted transcript (as two separate files)."redacted"
"redacted_and_unredacted"
PiiEntityTypes
— (Array<String>
)Specify which types of personally identifiable information (PII) you want to redact in your transcript. You can include as many types as you'd like, or you can select
ALL
. If you do not includePiiEntityTypes
in your request, all PII is redacted.
IdentifyLanguage
— (Boolean
)Indicates whether automatic language identification was enabled (
TRUE
) for the specified transcription job.IdentifyMultipleLanguages
— (Boolean
)Indicates whether automatic multi-language identification was enabled (
TRUE
) for the specified transcription job.LanguageOptions
— (Array<String>
)Provides the language codes you specified in your request.
IdentifiedLanguageScore
— (Float
)The confidence score associated with the language identified in your media file.
Confidence scores are values between 0 and 1; a larger value indicates a higher probability that the identified language correctly matches the language spoken in your media.
LanguageCodes
— (Array<map>
)The language codes used to create your transcription job. This parameter is used with multi-language identification. For single-language identification requests, refer to the singular version of this parameter,
LanguageCode
.LanguageCode
— (String
)Provides the language code for each language identified in your media.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
DurationInSeconds
— (Float
)Provides the total time, in seconds, each identified language is spoken in your media.
Tags
— (Array<map>
)The tags, each in the form of a key:value pair, assigned to the specified transcription job.
Key
— required — (String
)The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the key is 'Department'.Value
— required — (String
)The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the value is 'Sales'.Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
Subtitles
— (map
)Indicates whether subtitles were generated with your transcription.
Formats
— (Array<String>
)Provides the format of your subtitle files. If your request included both WebVTT (
vtt
) and SubRip (srt
) formats, both formats are shown.SubtitleFileUris
— (Array<String>
)The Amazon S3 location of your transcript. You can use this URI to access or download your subtitle file. Your subtitle file is stored in the same location as your transcript. If you specified both WebVTT and SubRip subtitle formats, two URIs are provided.
If you included
OutputBucketName
in your transcription job request, this is the URI of that bucket. If you also includedOutputKey
in your request, your output is located in the path you specified in your request.If you didn't include
OutputBucketName
in your transcription job request, your subtitle file is stored in a service-managed bucket, andTranscriptFileUri
provides you with a temporary URI you can use for secure access to your subtitle file.Note: Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get anAccesDenied
error, you can get a new temporary URI by running aGetTranscriptionJob
orListTranscriptionJob
request.OutputStartIndex
— (Integer
)Provides the start index value for your subtitle files. If you did not specify a value in your request, the default value of
0
is used.
LanguageIdSettings
— (map<map>
)Provides the name and language of all custom language models, custom vocabularies, and custom vocabulary filters that you included in your request.
VocabularyName
— (String
)The name of the custom vocabulary you want to use when processing your transcription job. Custom vocabulary names are case sensitive.
The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch.
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to use when processing your transcription job. Custom vocabulary filter names are case sensitive.
The language of the specified custom vocabulary filter must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary filter isn't applied. There are no errors or warnings associated with a language mismatch.
Note that if you include
VocabularyFilterName
in your request, you must also includeVocabularyFilterMethod
.LanguageModelName
— (String
)The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive.
The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
ToxicityDetection
— (Array<map>
)Provides information about the toxicity detection settings applied to your transcription.
ToxicityCategories
— required — (Array<String>
)If you include
ToxicityDetection
in your transcription request, you must also includeToxicityCategories
. The only accepted value for this parameter isALL
.
-
(AWS.Response)
—
Returns:
tagResource(params = {}, callback) ⇒ AWS.Request
Adds one or more custom tags, each in the form of a key:value pair, to the specified resource.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
Service Reference:
Examples:
Calling the tagResource operation
var params = {
ResourceArn: 'STRING_VALUE', /* required */
Tags: [ /* required */
{
Key: 'STRING_VALUE', /* required */
Value: 'STRING_VALUE' /* required */
},
/* more items */
]
};
transcribeservice.tagResource(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
ResourceArn
— (String
)The Amazon Resource Name (ARN) of the resource you want to tag. ARNs have the format
arn:partition:service:region:account-id:resource-type/resource-id
.For example,
arn:aws:transcribe:us-west-2:111122223333:transcription-job/transcription-job-name
.Valid values for
resource-type
are:transcription-job
,medical-transcription-job
,vocabulary
,medical-vocabulary
,vocabulary-filter
, andlanguage-model
.Tags
— (Array<map>
)Adds one or more custom tags, each in the form of a key:value pair, to the specified resource.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
Key
— required — (String
)The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the key is 'Department'.Value
— required — (String
)The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag
Department:Sales
, the value is 'Sales'.Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs.
-
(AWS.Response)
—
Returns:
untagResource(params = {}, callback) ⇒ AWS.Request
Removes the specified tags from the specified Amazon Transcribe resource.
If you include UntagResource
in your request, you must also include ResourceArn
and TagKeys
.
Service Reference:
Examples:
Calling the untagResource operation
var params = {
ResourceArn: 'STRING_VALUE', /* required */
TagKeys: [ /* required */
'STRING_VALUE',
/* more items */
]
};
transcribeservice.untagResource(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
ResourceArn
— (String
)The Amazon Resource Name (ARN) of the Amazon Transcribe resource you want to remove tags from. ARNs have the format
arn:partition:service:region:account-id:resource-type/resource-id
.For example,
arn:aws:transcribe:us-west-2:111122223333:transcription-job/transcription-job-name
.Valid values for
resource-type
are:transcription-job
,medical-transcription-job
,vocabulary
,medical-vocabulary
,vocabulary-filter
, andlanguage-model
.TagKeys
— (Array<String>
)Removes the specified tag keys from the specified Amazon Transcribe resource.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs.
-
(AWS.Response)
—
Returns:
updateCallAnalyticsCategory(params = {}, callback) ⇒ AWS.Request
Updates the specified Call Analytics category with new rules. Note that the UpdateCallAnalyticsCategory
operation overwrites all existing rules contained in the specified category. You cannot append additional rules onto an existing category.
To create a new category, see .
Service Reference:
Examples:
Calling the updateCallAnalyticsCategory operation
var params = {
CategoryName: 'STRING_VALUE', /* required */
Rules: [ /* required */
{
InterruptionFilter: {
AbsoluteTimeRange: {
EndTime: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartTime: 'NUMBER_VALUE'
},
Negate: true || false,
ParticipantRole: AGENT | CUSTOMER,
RelativeTimeRange: {
EndPercentage: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartPercentage: 'NUMBER_VALUE'
},
Threshold: 'NUMBER_VALUE'
},
NonTalkTimeFilter: {
AbsoluteTimeRange: {
EndTime: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartTime: 'NUMBER_VALUE'
},
Negate: true || false,
RelativeTimeRange: {
EndPercentage: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartPercentage: 'NUMBER_VALUE'
},
Threshold: 'NUMBER_VALUE'
},
SentimentFilter: {
Sentiments: [ /* required */
POSITIVE | NEGATIVE | NEUTRAL | MIXED,
/* more items */
],
AbsoluteTimeRange: {
EndTime: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartTime: 'NUMBER_VALUE'
},
Negate: true || false,
ParticipantRole: AGENT | CUSTOMER,
RelativeTimeRange: {
EndPercentage: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartPercentage: 'NUMBER_VALUE'
}
},
TranscriptFilter: {
Targets: [ /* required */
'STRING_VALUE',
/* more items */
],
TranscriptFilterType: EXACT, /* required */
AbsoluteTimeRange: {
EndTime: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartTime: 'NUMBER_VALUE'
},
Negate: true || false,
ParticipantRole: AGENT | CUSTOMER,
RelativeTimeRange: {
EndPercentage: 'NUMBER_VALUE',
First: 'NUMBER_VALUE',
Last: 'NUMBER_VALUE',
StartPercentage: 'NUMBER_VALUE'
}
}
},
/* more items */
],
InputType: REAL_TIME | POST_CALL
};
transcribeservice.updateCallAnalyticsCategory(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
CategoryName
— (String
)The name of the Call Analytics category you want to update. Category names are case sensitive.
Rules
— (Array<map>
)The rules used for the updated Call Analytics category. The rules you provide in this field replace the ones that are currently being used in the specified category.
NonTalkTimeFilter
— (map
)Flag the presence or absence of periods of silence in your Call Analytics transcription output. Refer to for more detail.
Threshold
— (Integer
)Specify the duration, in milliseconds, of the period of silence that you want to flag. For example, you can flag a silent period that lasts 30,000 milliseconds.
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for a period of silence. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for a period of silence. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
Negate
— (Boolean
)Set to
TRUE
to flag periods of speech. Set toFALSE
to flag periods of silence
InterruptionFilter
— (map
)Flag the presence or absence of interruptions in your Call Analytics transcription output. Refer to for more detail.
Threshold
— (Integer
)Specify the duration of the interruptions in milliseconds. For example, you can flag speech that contains more than 10,000 milliseconds of interruptions.
ParticipantRole
— (String
)Specify the interrupter that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for an interruption. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for an interruption. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
Negate
— (Boolean
)Set to
TRUE
to flag speech that does not contain interruptions. Set toFALSE
to flag speech that contains interruptions.
TranscriptFilter
— (map
)Flag the presence or absence of specific words or phrases in your Call Analytics transcription output. Refer to for more detail.
TranscriptFilterType
— required — (String
)Flag the presence or absence of an exact match to the phrases that you specify. For example, if you specify the phrase "speak to a manager" as your
Targets
value, only that exact phrase is flagged.Note that semantic matching is not supported. For example, if your customer says "speak to the manager", instead of "speak to a manager", your content is not flagged.
Possible values include:"EXACT"
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified key words or phrases. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified key words or phrases. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
ParticipantRole
— (String
)Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
Negate
— (Boolean
)Set to
TRUE
to flag the absence of the phrase that you specified in your request. Set toFALSE
to flag the presence of the phrase that you specified in your request.Targets
— required — (Array<String>
)Specify the phrases that you want to flag.
SentimentFilter
— (map
)Flag the presence or absence of specific sentiments in your Call Analytics transcription output. Refer to for more detail.
Sentiments
— required — (Array<String>
)Specify the sentiments that you want to flag.
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified sentiments. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified sentiments. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
ParticipantRole
— (String
)Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
Negate
— (Boolean
)Set to
TRUE
to flag the sentiments that you didn't include in your request. Set toFALSE
to flag the sentiments that you specified in your request.
InputType
— (String
)Choose whether you want to update a real-time or a post-call category. The input type you specify must match the input type specified when the category was created. For example, if you created a category with the
Possible values include:POST_CALL
input type, you must usePOST_CALL
as the input type when updating this category."REAL_TIME"
"POST_CALL"
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:CategoryProperties
— (map
)Provides you with the properties of the Call Analytics category you specified in your
UpdateCallAnalyticsCategory
request.CategoryName
— (String
)The name of the Call Analytics category. Category names are case sensitive and must be unique within an Amazon Web Services account.
Rules
— (Array<map>
)The rules used to define a Call Analytics category. Each category can have between 1 and 20 rules.
NonTalkTimeFilter
— (map
)Flag the presence or absence of periods of silence in your Call Analytics transcription output. Refer to for more detail.
Threshold
— (Integer
)Specify the duration, in milliseconds, of the period of silence that you want to flag. For example, you can flag a silent period that lasts 30,000 milliseconds.
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for a period of silence. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for a period of silence. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
Negate
— (Boolean
)Set to
TRUE
to flag periods of speech. Set toFALSE
to flag periods of silence
InterruptionFilter
— (map
)Flag the presence or absence of interruptions in your Call Analytics transcription output. Refer to for more detail.
Threshold
— (Integer
)Specify the duration of the interruptions in milliseconds. For example, you can flag speech that contains more than 10,000 milliseconds of interruptions.
ParticipantRole
— (String
)Specify the interrupter that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for an interruption. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for an interruption. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
Negate
— (Boolean
)Set to
TRUE
to flag speech that does not contain interruptions. Set toFALSE
to flag speech that contains interruptions.
TranscriptFilter
— (map
)Flag the presence or absence of specific words or phrases in your Call Analytics transcription output. Refer to for more detail.
TranscriptFilterType
— required — (String
)Flag the presence or absence of an exact match to the phrases that you specify. For example, if you specify the phrase "speak to a manager" as your
Targets
value, only that exact phrase is flagged.Note that semantic matching is not supported. For example, if your customer says "speak to the manager", instead of "speak to a manager", your content is not flagged.
Possible values include:"EXACT"
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified key words or phrases. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified key words or phrases. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
ParticipantRole
— (String
)Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
Negate
— (Boolean
)Set to
TRUE
to flag the absence of the phrase that you specified in your request. Set toFALSE
to flag the presence of the phrase that you specified in your request.Targets
— required — (Array<String>
)Specify the phrases that you want to flag.
SentimentFilter
— (map
)Flag the presence or absence of specific sentiments in your Call Analytics transcription output. Refer to for more detail.
Sentiments
— required — (Array<String>
)Specify the sentiments that you want to flag.
AbsoluteTimeRange
— (map
)Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified sentiments. See for more detail.
StartTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include
StartTime
in your request, you must also includeEndTime
.EndTime
— (Integer
)The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include
EndTime
in your request, you must also includeStartTime
.First
— (Integer
)The time, in milliseconds, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
RelativeTimeRange
— (map
)Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified sentiments. See for more detail.
StartPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include
StartPercentage
in your request, you must also includeEndPercentage
.EndPercentage
— (Integer
)The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include
EndPercentage
in your request, you must also includeStartPercentage
.First
— (Integer
)The time, in percentage, from the start of your media file until the specified value. Amazon Transcribe searches for your specified criteria in this time segment.
Last
— (Integer
)The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
ParticipantRole
— (String
)Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.
Possible values include:"AGENT"
"CUSTOMER"
Negate
— (Boolean
)Set to
TRUE
to flag the sentiments that you didn't include in your request. Set toFALSE
to flag the sentiments that you specified in your request.
CreateTime
— (Date
)The date and time the specified Call Analytics category was created.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.LastUpdateTime
— (Date
)The date and time the specified Call Analytics category was last updated.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-05T12:45:32.691000-07:00
represents 12:45 PM UTC-7 on May 5, 2022.InputType
— (String
)The input type associated with the specified category.
Possible values include:POST_CALL
refers to a category that is applied to batch transcriptions;REAL_TIME
refers to a category that is applied to streaming transcriptions."REAL_TIME"
"POST_CALL"
-
(AWS.Response)
—
Returns:
updateMedicalVocabulary(params = {}, callback) ⇒ AWS.Request
Updates an existing custom medical vocabulary with new values. This operation overwrites all existing information with your new values; you cannot append new terms onto an existing custom vocabulary.
Service Reference:
Examples:
Calling the updateMedicalVocabulary operation
var params = {
LanguageCode: af-ZA | ar-AE | ar-SA | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN | zh-TW | th-TH | en-ZA | en-NZ | vi-VN | sv-SE | ab-GE | ast-ES | az-AZ | ba-RU | be-BY | bg-BG | bn-IN | bs-BA | ca-ES | ckb-IQ | ckb-IR | cs-CZ | cy-WL | el-GR | et-ET | eu-ES | fi-FI | gl-ES | gu-IN | ha-NG | hr-HR | hu-HU | hy-AM | is-IS | ka-GE | kab-DZ | kk-KZ | kn-IN | ky-KG | lg-IN | lt-LT | lv-LV | mhr-RU | mi-NZ | mk-MK | ml-IN | mn-MN | mr-IN | mt-MT | no-NO | or-IN | pa-IN | pl-PL | ps-AF | ro-RO | rw-RW | si-LK | sk-SK | sl-SI | so-SO | sr-RS | su-ID | sw-BI | sw-KE | sw-RW | sw-TZ | sw-UG | tl-PH | tt-RU | ug-CN | uk-UA | uz-UZ | wo-SN | zu-ZA, /* required */
VocabularyFileUri: 'STRING_VALUE', /* required */
VocabularyName: 'STRING_VALUE' /* required */
};
transcribeservice.updateMedicalVocabulary(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
VocabularyName
— (String
)The name of the custom medical vocabulary you want to update. Custom medical vocabulary names are case sensitive.
LanguageCode
— (String
)The language code that represents the language of the entries in the custom vocabulary you want to update. US English (
Possible values include:en-US
) is the only language supported with Amazon Transcribe Medical."af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
VocabularyFileUri
— (String
)The Amazon S3 location of the text file that contains your custom medical vocabulary. The URI must be located in the same Amazon Web Services Region as the resource you're calling.
Here's an example URI path:
s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:VocabularyName
— (String
)The name of the updated custom medical vocabulary.
LanguageCode
— (String
)The language code you selected for your custom medical vocabulary. US English (
Possible values include:en-US
) is the only language supported with Amazon Transcribe Medical."af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
LastModifiedTime
— (Date
)The date and time the specified custom medical vocabulary was last updated.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.VocabularyState
— (String
)The processing state of your custom medical vocabulary. If the state is
Possible values include:READY
, you can use the custom vocabulary in aStartMedicalTranscriptionJob
request."PENDING"
"READY"
"FAILED"
-
(AWS.Response)
—
Returns:
updateVocabulary(params = {}, callback) ⇒ AWS.Request
Updates an existing custom vocabulary with new values. This operation overwrites all existing information with your new values; you cannot append new terms onto an existing custom vocabulary.
Service Reference:
Examples:
Calling the updateVocabulary operation
var params = {
LanguageCode: af-ZA | ar-AE | ar-SA | da-DK | de-CH | de-DE | en-AB | en-AU | en-GB | en-IE | en-IN | en-US | en-WL | es-ES | es-US | fa-IR | fr-CA | fr-FR | he-IL | hi-IN | id-ID | it-IT | ja-JP | ko-KR | ms-MY | nl-NL | pt-BR | pt-PT | ru-RU | ta-IN | te-IN | tr-TR | zh-CN | zh-TW | th-TH | en-ZA | en-NZ | vi-VN | sv-SE | ab-GE | ast-ES | az-AZ | ba-RU | be-BY | bg-BG | bn-IN | bs-BA | ca-ES | ckb-IQ | ckb-IR | cs-CZ | cy-WL | el-GR | et-ET | eu-ES | fi-FI | gl-ES | gu-IN | ha-NG | hr-HR | hu-HU | hy-AM | is-IS | ka-GE | kab-DZ | kk-KZ | kn-IN | ky-KG | lg-IN | lt-LT | lv-LV | mhr-RU | mi-NZ | mk-MK | ml-IN | mn-MN | mr-IN | mt-MT | no-NO | or-IN | pa-IN | pl-PL | ps-AF | ro-RO | rw-RW | si-LK | sk-SK | sl-SI | so-SO | sr-RS | su-ID | sw-BI | sw-KE | sw-RW | sw-TZ | sw-UG | tl-PH | tt-RU | ug-CN | uk-UA | uz-UZ | wo-SN | zu-ZA, /* required */
VocabularyName: 'STRING_VALUE', /* required */
DataAccessRoleArn: 'STRING_VALUE',
Phrases: [
'STRING_VALUE',
/* more items */
],
VocabularyFileUri: 'STRING_VALUE'
};
transcribeservice.updateVocabulary(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
VocabularyName
— (String
)The name of the custom vocabulary you want to update. Custom vocabulary names are case sensitive.
LanguageCode
— (String
)The language code that represents the language of the entries in the custom vocabulary you want to update. Each custom vocabulary must contain terms in only one language.
A custom vocabulary can only be used to transcribe files in the same language as the custom vocabulary. For example, if you create a custom vocabulary using US English (
en-US
), you can only apply this custom vocabulary to files that contain English audio.For a list of supported languages and their associated language codes, refer to the Supported languages table.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
Phrases
— (Array<String>
)Use this parameter if you want to update your custom vocabulary by including all desired terms, as comma-separated values, within your request. The other option for updating your custom vocabulary is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the
VocabularyFileUri
parameter.Note that if you include
Phrases
in your request, you cannot useVocabularyFileUri
; you must choose one or the other.Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.
VocabularyFileUri
— (String
)The Amazon S3 location of the text file that contains your custom vocabulary. The URI must be located in the same Amazon Web Services Region as the resource you're calling.
Here's an example URI path:
s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt
Note that if you include
VocabularyFileUri
in your request, you cannot use thePhrases
flag; you must choose one or the other.DataAccessRoleArn
— (String
)The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary). If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.
IAM role ARNs have the format
arn:partition:iam::account:role/role-name-with-path
. For example:arn:aws:iam::111122223333:role/Admin
.For more information, see IAM ARNs.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:VocabularyName
— (String
)The name of the updated custom vocabulary.
LanguageCode
— (String
)The language code you selected for your custom vocabulary.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
LastModifiedTime
— (Date
)The date and time the specified custom vocabulary was last updated.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.VocabularyState
— (String
)The processing state of your custom vocabulary. If the state is
Possible values include:READY
, you can use the custom vocabulary in aStartTranscriptionJob
request."PENDING"
"READY"
"FAILED"
-
(AWS.Response)
—
Returns:
updateVocabularyFilter(params = {}, callback) ⇒ AWS.Request
Updates an existing custom vocabulary filter with a new list of words. The new list you provide overwrites all previous entries; you cannot append new terms onto an existing custom vocabulary filter.
Service Reference:
Examples:
Calling the updateVocabularyFilter operation
var params = {
VocabularyFilterName: 'STRING_VALUE', /* required */
DataAccessRoleArn: 'STRING_VALUE',
VocabularyFilterFileUri: 'STRING_VALUE',
Words: [
'STRING_VALUE',
/* more items */
]
};
transcribeservice.updateVocabularyFilter(params, function(err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Parameters:
-
params
(Object)
(defaults to: {})
—
VocabularyFilterName
— (String
)The name of the custom vocabulary filter you want to update. Custom vocabulary filter names are case sensitive.
Words
— (Array<String>
)Use this parameter if you want to update your custom vocabulary filter by including all desired terms, as comma-separated values, within your request. The other option for updating your vocabulary filter is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the
VocabularyFilterFileUri
parameter.Note that if you include
Words
in your request, you cannot useVocabularyFilterFileUri
; you must choose one or the other.Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.
VocabularyFilterFileUri
— (String
)The Amazon S3 location of the text file that contains your custom vocabulary filter terms. The URI must be located in the same Amazon Web Services Region as the resource you're calling.
Here's an example URI path:
s3://DOC-EXAMPLE-BUCKET/my-vocab-filter-file.txt
Note that if you include
VocabularyFilterFileUri
in your request, you cannot useWords
; you must choose one or the other.DataAccessRoleArn
— (String
)The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary filter). If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails.
IAM role ARNs have the format
arn:partition:iam::account:role/role-name-with-path
. For example:arn:aws:iam::111122223333:role/Admin
.For more information, see IAM ARNs.
Callback (callback):
-
function(err, data) { ... }
Called when a response from the service is returned. If a callback is not supplied, you must call AWS.Request.send() on the returned request object to initiate the request.
Context (this):
-
(AWS.Response)
—
the response object containing error, data properties, and the original request object.
Parameters:
-
err
(Error)
—
the error object returned from the request. Set to
null
if the request is successful. -
data
(Object)
—
the de-serialized data returned from the request. Set to
null
if a request error occurs. Thedata
object has the following properties:VocabularyFilterName
— (String
)The name of the updated custom vocabulary filter.
LanguageCode
— (String
)The language code you selected for your custom vocabulary filter.
Possible values include:"af-ZA"
"ar-AE"
"ar-SA"
"da-DK"
"de-CH"
"de-DE"
"en-AB"
"en-AU"
"en-GB"
"en-IE"
"en-IN"
"en-US"
"en-WL"
"es-ES"
"es-US"
"fa-IR"
"fr-CA"
"fr-FR"
"he-IL"
"hi-IN"
"id-ID"
"it-IT"
"ja-JP"
"ko-KR"
"ms-MY"
"nl-NL"
"pt-BR"
"pt-PT"
"ru-RU"
"ta-IN"
"te-IN"
"tr-TR"
"zh-CN"
"zh-TW"
"th-TH"
"en-ZA"
"en-NZ"
"vi-VN"
"sv-SE"
"ab-GE"
"ast-ES"
"az-AZ"
"ba-RU"
"be-BY"
"bg-BG"
"bn-IN"
"bs-BA"
"ca-ES"
"ckb-IQ"
"ckb-IR"
"cs-CZ"
"cy-WL"
"el-GR"
"et-ET"
"eu-ES"
"fi-FI"
"gl-ES"
"gu-IN"
"ha-NG"
"hr-HR"
"hu-HU"
"hy-AM"
"is-IS"
"ka-GE"
"kab-DZ"
"kk-KZ"
"kn-IN"
"ky-KG"
"lg-IN"
"lt-LT"
"lv-LV"
"mhr-RU"
"mi-NZ"
"mk-MK"
"ml-IN"
"mn-MN"
"mr-IN"
"mt-MT"
"no-NO"
"or-IN"
"pa-IN"
"pl-PL"
"ps-AF"
"ro-RO"
"rw-RW"
"si-LK"
"sk-SK"
"sl-SI"
"so-SO"
"sr-RS"
"su-ID"
"sw-BI"
"sw-KE"
"sw-RW"
"sw-TZ"
"sw-UG"
"tl-PH"
"tt-RU"
"ug-CN"
"uk-UA"
"uz-UZ"
"wo-SN"
"zu-ZA"
LastModifiedTime
— (Date
)The date and time the specified custom vocabulary filter was last updated.
Timestamps are in the format
YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC
. For example,2022-05-04T12:32:58.761000-07:00
represents 12:32 PM UTC-7 on May 4, 2022.
-
(AWS.Response)
—
Returns: