@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class StartTranscriptionJobRequest extends AmazonWebServiceRequest implements Serializable, Cloneable
NOOP
Constructor and Description |
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StartTranscriptionJobRequest() |
Modifier and Type | Method and Description |
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StartTranscriptionJobRequest |
addKMSEncryptionContextEntry(String key,
String value)
Add a single KMSEncryptionContext entry
|
StartTranscriptionJobRequest |
addLanguageIdSettingsEntry(String key,
LanguageIdSettings value)
Add a single LanguageIdSettings entry
|
StartTranscriptionJobRequest |
clearKMSEncryptionContextEntries()
Removes all the entries added into KMSEncryptionContext.
|
StartTranscriptionJobRequest |
clearLanguageIdSettingsEntries()
Removes all the entries added into LanguageIdSettings.
|
StartTranscriptionJobRequest |
clone()
Creates a shallow clone of this object for all fields except the handler context.
|
boolean |
equals(Object obj) |
ContentRedaction |
getContentRedaction()
Makes it possible to redact or flag specified personally identifiable information (PII) in your transcript.
|
Boolean |
getIdentifyLanguage()
Enables automatic language identification in your transcription job request.
|
Boolean |
getIdentifyMultipleLanguages()
Enables automatic multi-language identification in your transcription job request.
|
JobExecutionSettings |
getJobExecutionSettings()
Makes it possible to control how your transcription job is processed.
|
Map<String,String> |
getKMSEncryptionContext()
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.
|
String |
getLanguageCode()
The language code that represents the language spoken in the input media file.
|
Map<String,LanguageIdSettings> |
getLanguageIdSettings()
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 , and
VocabularyFilterName ). |
List<String> |
getLanguageOptions()
You can specify two or more language codes that represent the languages you think may be present in your media.
|
Media |
getMedia()
Describes the Amazon S3 location of the media file you want to use in your request.
|
String |
getMediaFormat()
Specify the format of your input media file.
|
Integer |
getMediaSampleRateHertz()
The sample rate, in hertz, of the audio track in your input media file.
|
ModelSettings |
getModelSettings()
Specify the custom language model you want to include with your transcription job.
|
String |
getOutputBucketName()
The name of the Amazon S3 bucket where you want your transcription output stored.
|
String |
getOutputEncryptionKMSKeyId()
The KMS key you want to use to encrypt your transcription output.
|
String |
getOutputKey()
Use in combination with
OutputBucketName to specify the output location of your transcript and,
optionally, a unique name for your output file. |
Settings |
getSettings()
Specify additional optional settings in your request, including channel identification, alternative
transcriptions, speaker partitioning.
|
Subtitles |
getSubtitles()
Produces subtitle files for your input media.
|
List<Tag> |
getTags()
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.
|
List<ToxicityDetectionSettings> |
getToxicityDetection()
Enables toxic speech detection in your transcript.
|
String |
getTranscriptionJobName()
A unique name, chosen by you, for your transcription job.
|
int |
hashCode() |
Boolean |
isIdentifyLanguage()
Enables automatic language identification in your transcription job request.
|
Boolean |
isIdentifyMultipleLanguages()
Enables automatic multi-language identification in your transcription job request.
|
void |
setContentRedaction(ContentRedaction contentRedaction)
Makes it possible to redact or flag specified personally identifiable information (PII) in your transcript.
|
void |
setIdentifyLanguage(Boolean identifyLanguage)
Enables automatic language identification in your transcription job request.
|
void |
setIdentifyMultipleLanguages(Boolean identifyMultipleLanguages)
Enables automatic multi-language identification in your transcription job request.
|
void |
setJobExecutionSettings(JobExecutionSettings jobExecutionSettings)
Makes it possible to control how your transcription job is processed.
|
void |
setKMSEncryptionContext(Map<String,String> kMSEncryptionContext)
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.
|
void |
setLanguageCode(String languageCode)
The language code that represents the language spoken in the input media file.
|
void |
setLanguageIdSettings(Map<String,LanguageIdSettings> languageIdSettings)
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 , and
VocabularyFilterName ). |
void |
setLanguageOptions(Collection<String> languageOptions)
You can specify two or more language codes that represent the languages you think may be present in your media.
|
void |
setMedia(Media media)
Describes the Amazon S3 location of the media file you want to use in your request.
|
void |
setMediaFormat(String mediaFormat)
Specify the format of your input media file.
|
void |
setMediaSampleRateHertz(Integer mediaSampleRateHertz)
The sample rate, in hertz, of the audio track in your input media file.
|
void |
setModelSettings(ModelSettings modelSettings)
Specify the custom language model you want to include with your transcription job.
|
void |
setOutputBucketName(String outputBucketName)
The name of the Amazon S3 bucket where you want your transcription output stored.
|
void |
setOutputEncryptionKMSKeyId(String outputEncryptionKMSKeyId)
The KMS key you want to use to encrypt your transcription output.
|
void |
setOutputKey(String outputKey)
Use in combination with
OutputBucketName to specify the output location of your transcript and,
optionally, a unique name for your output file. |
void |
setSettings(Settings settings)
Specify additional optional settings in your request, including channel identification, alternative
transcriptions, speaker partitioning.
|
void |
setSubtitles(Subtitles subtitles)
Produces subtitle files for your input media.
|
void |
setTags(Collection<Tag> tags)
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.
|
void |
setToxicityDetection(Collection<ToxicityDetectionSettings> toxicityDetection)
Enables toxic speech detection in your transcript.
|
void |
setTranscriptionJobName(String transcriptionJobName)
A unique name, chosen by you, for your transcription job.
|
String |
toString()
Returns a string representation of this object.
|
StartTranscriptionJobRequest |
withContentRedaction(ContentRedaction contentRedaction)
Makes it possible to redact or flag specified personally identifiable information (PII) in your transcript.
|
StartTranscriptionJobRequest |
withIdentifyLanguage(Boolean identifyLanguage)
Enables automatic language identification in your transcription job request.
|
StartTranscriptionJobRequest |
withIdentifyMultipleLanguages(Boolean identifyMultipleLanguages)
Enables automatic multi-language identification in your transcription job request.
|
StartTranscriptionJobRequest |
withJobExecutionSettings(JobExecutionSettings jobExecutionSettings)
Makes it possible to control how your transcription job is processed.
|
StartTranscriptionJobRequest |
withKMSEncryptionContext(Map<String,String> kMSEncryptionContext)
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.
|
StartTranscriptionJobRequest |
withLanguageCode(LanguageCode languageCode)
The language code that represents the language spoken in the input media file.
|
StartTranscriptionJobRequest |
withLanguageCode(String languageCode)
The language code that represents the language spoken in the input media file.
|
StartTranscriptionJobRequest |
withLanguageIdSettings(Map<String,LanguageIdSettings> languageIdSettings)
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 , and
VocabularyFilterName ). |
StartTranscriptionJobRequest |
withLanguageOptions(Collection<String> languageOptions)
You can specify two or more language codes that represent the languages you think may be present in your media.
|
StartTranscriptionJobRequest |
withLanguageOptions(LanguageCode... languageOptions)
You can specify two or more language codes that represent the languages you think may be present in your media.
|
StartTranscriptionJobRequest |
withLanguageOptions(String... languageOptions)
You can specify two or more language codes that represent the languages you think may be present in your media.
|
StartTranscriptionJobRequest |
withMedia(Media media)
Describes the Amazon S3 location of the media file you want to use in your request.
|
StartTranscriptionJobRequest |
withMediaFormat(MediaFormat mediaFormat)
Specify the format of your input media file.
|
StartTranscriptionJobRequest |
withMediaFormat(String mediaFormat)
Specify the format of your input media file.
|
StartTranscriptionJobRequest |
withMediaSampleRateHertz(Integer mediaSampleRateHertz)
The sample rate, in hertz, of the audio track in your input media file.
|
StartTranscriptionJobRequest |
withModelSettings(ModelSettings modelSettings)
Specify the custom language model you want to include with your transcription job.
|
StartTranscriptionJobRequest |
withOutputBucketName(String outputBucketName)
The name of the Amazon S3 bucket where you want your transcription output stored.
|
StartTranscriptionJobRequest |
withOutputEncryptionKMSKeyId(String outputEncryptionKMSKeyId)
The KMS key you want to use to encrypt your transcription output.
|
StartTranscriptionJobRequest |
withOutputKey(String outputKey)
Use in combination with
OutputBucketName to specify the output location of your transcript and,
optionally, a unique name for your output file. |
StartTranscriptionJobRequest |
withSettings(Settings settings)
Specify additional optional settings in your request, including channel identification, alternative
transcriptions, speaker partitioning.
|
StartTranscriptionJobRequest |
withSubtitles(Subtitles subtitles)
Produces subtitle files for your input media.
|
StartTranscriptionJobRequest |
withTags(Collection<Tag> tags)
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.
|
StartTranscriptionJobRequest |
withTags(Tag... tags)
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.
|
StartTranscriptionJobRequest |
withToxicityDetection(Collection<ToxicityDetectionSettings> toxicityDetection)
Enables toxic speech detection in your transcript.
|
StartTranscriptionJobRequest |
withToxicityDetection(ToxicityDetectionSettings... toxicityDetection)
Enables toxic speech detection in your transcript.
|
StartTranscriptionJobRequest |
withTranscriptionJobName(String transcriptionJobName)
A unique name, chosen by you, for your transcription job.
|
addHandlerContext, getCloneRoot, getCloneSource, getCustomQueryParameters, getCustomRequestHeaders, getGeneralProgressListener, getHandlerContext, getReadLimit, getRequestClientOptions, getRequestCredentials, getRequestCredentialsProvider, getRequestMetricCollector, getSdkClientExecutionTimeout, getSdkRequestTimeout, putCustomQueryParameter, putCustomRequestHeader, setGeneralProgressListener, setRequestCredentials, setRequestCredentialsProvider, setRequestMetricCollector, setSdkClientExecutionTimeout, setSdkRequestTimeout, withGeneralProgressListener, withRequestCredentialsProvider, withRequestMetricCollector, withSdkClientExecutionTimeout, withSdkRequestTimeout
public void setTranscriptionJobName(String transcriptionJobName)
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.
transcriptionJobName
- 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.
public String getTranscriptionJobName()
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.
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.
public StartTranscriptionJobRequest withTranscriptionJobName(String transcriptionJobName)
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.
transcriptionJobName
- 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.
public void setLanguageCode(String languageCode)
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
or
IdentifyMultipleLanguages
to enable automatic language identification.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
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.
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.
languageCode
- 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
or IdentifyMultipleLanguages
to enable automatic language identification.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
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.
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.
LanguageCode
public String getLanguageCode()
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
or
IdentifyMultipleLanguages
to enable automatic language identification.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
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.
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.
If you're unsure of the language spoken in your media file, consider using IdentifyLanguage
or IdentifyMultipleLanguages
to enable automatic language identification.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
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.
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.
LanguageCode
public StartTranscriptionJobRequest withLanguageCode(String languageCode)
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
or
IdentifyMultipleLanguages
to enable automatic language identification.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
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.
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.
languageCode
- 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
or IdentifyMultipleLanguages
to enable automatic language identification.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
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.
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.
LanguageCode
public StartTranscriptionJobRequest withLanguageCode(LanguageCode languageCode)
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
or
IdentifyMultipleLanguages
to enable automatic language identification.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
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.
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.
languageCode
- 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
or IdentifyMultipleLanguages
to enable automatic language identification.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
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.
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.
LanguageCode
public void setMediaSampleRateHertz(Integer mediaSampleRateHertz)
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.
mediaSampleRateHertz
- 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.
public Integer getMediaSampleRateHertz()
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.
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.
public StartTranscriptionJobRequest withMediaSampleRateHertz(Integer mediaSampleRateHertz)
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.
mediaSampleRateHertz
- 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.
public void setMediaFormat(String mediaFormat)
Specify the format of your input media file.
mediaFormat
- Specify the format of your input media file.MediaFormat
public String getMediaFormat()
Specify the format of your input media file.
MediaFormat
public StartTranscriptionJobRequest withMediaFormat(String mediaFormat)
Specify the format of your input media file.
mediaFormat
- Specify the format of your input media file.MediaFormat
public StartTranscriptionJobRequest withMediaFormat(MediaFormat mediaFormat)
Specify the format of your input media file.
mediaFormat
- Specify the format of your input media file.MediaFormat
public void setMedia(Media media)
Describes the Amazon S3 location of the media file you want to use in your request.
media
- Describes the Amazon S3 location of the media file you want to use in your request.public Media getMedia()
Describes the Amazon S3 location of the media file you want to use in your request.
public StartTranscriptionJobRequest withMedia(Media media)
Describes the Amazon S3 location of the media file you want to use in your request.
media
- Describes the Amazon S3 location of the media file you want to use in your request.public void setOutputBucketName(String outputBucketName)
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
, set
OutputBucketName
to DOC-EXAMPLE-BUCKET
. However, if you want your output stored in
S3://DOC-EXAMPLE-BUCKET/test-files/
, set OutputBucketName
to
DOC-EXAMPLE-BUCKET
and OutputKey
to test-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.
outputBucketName
- 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
, set
OutputBucketName
to DOC-EXAMPLE-BUCKET
. However, if you want your output stored
in S3://DOC-EXAMPLE-BUCKET/test-files/
, set OutputBucketName
to
DOC-EXAMPLE-BUCKET
and OutputKey
to test-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.
public String getOutputBucketName()
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
, set
OutputBucketName
to DOC-EXAMPLE-BUCKET
. However, if you want your output stored in
S3://DOC-EXAMPLE-BUCKET/test-files/
, set OutputBucketName
to
DOC-EXAMPLE-BUCKET
and OutputKey
to test-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.
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
, set
OutputBucketName
to DOC-EXAMPLE-BUCKET
. However, if you want your output stored
in S3://DOC-EXAMPLE-BUCKET/test-files/
, set OutputBucketName
to
DOC-EXAMPLE-BUCKET
and OutputKey
to test-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.
public StartTranscriptionJobRequest withOutputBucketName(String outputBucketName)
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
, set
OutputBucketName
to DOC-EXAMPLE-BUCKET
. However, if you want your output stored in
S3://DOC-EXAMPLE-BUCKET/test-files/
, set OutputBucketName
to
DOC-EXAMPLE-BUCKET
and OutputKey
to test-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.
outputBucketName
- 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
, set
OutputBucketName
to DOC-EXAMPLE-BUCKET
. However, if you want your output stored
in S3://DOC-EXAMPLE-BUCKET/test-files/
, set OutputBucketName
to
DOC-EXAMPLE-BUCKET
and OutputKey
to test-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.
public void setOutputKey(String outputKey)
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 the
OutputKey
, your transcription output path is s3://DOC-EXAMPLE-BUCKET/my-transcript.json
.
If you specify 'my-first-transcription' as the TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as the
OutputBucketName
, and 'my-transcript' as the OutputKey
, your transcription output path
is s3://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
the OutputKey
, your transcription output path is
s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json
.
If you specify 'my-first-transcription' as the TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as the
OutputBucketName
, and 'test-files/my-transcript' as the OutputKey
, your transcription
output path is s3://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.
outputKey
- 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 the
OutputKey
, your transcription output path is
s3://DOC-EXAMPLE-BUCKET/my-transcript.json
.
If you specify 'my-first-transcription' as the TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as
the OutputBucketName
, and 'my-transcript' as the OutputKey
, your transcription
output path is s3://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 the OutputKey
, your transcription output path is
s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json
.
If you specify 'my-first-transcription' as the TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as
the OutputBucketName
, and 'test-files/my-transcript' as the OutputKey
, your
transcription output path is
s3://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.
public String getOutputKey()
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 the
OutputKey
, your transcription output path is s3://DOC-EXAMPLE-BUCKET/my-transcript.json
.
If you specify 'my-first-transcription' as the TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as the
OutputBucketName
, and 'my-transcript' as the OutputKey
, your transcription output path
is s3://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
the OutputKey
, your transcription output path is
s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json
.
If you specify 'my-first-transcription' as the TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as the
OutputBucketName
, and 'test-files/my-transcript' as the OutputKey
, your transcription
output path is s3://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.
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 the
OutputKey
, your transcription output path is
s3://DOC-EXAMPLE-BUCKET/my-transcript.json
.
If you specify 'my-first-transcription' as the TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as
the OutputBucketName
, and 'my-transcript' as the OutputKey
, your transcription
output path is s3://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 the OutputKey
, your transcription output path is
s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json
.
If you specify 'my-first-transcription' as the TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as
the OutputBucketName
, and 'test-files/my-transcript' as the OutputKey
, your
transcription output path is
s3://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.
public StartTranscriptionJobRequest withOutputKey(String outputKey)
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 the
OutputKey
, your transcription output path is s3://DOC-EXAMPLE-BUCKET/my-transcript.json
.
If you specify 'my-first-transcription' as the TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as the
OutputBucketName
, and 'my-transcript' as the OutputKey
, your transcription output path
is s3://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
the OutputKey
, your transcription output path is
s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json
.
If you specify 'my-first-transcription' as the TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as the
OutputBucketName
, and 'test-files/my-transcript' as the OutputKey
, your transcription
output path is s3://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.
outputKey
- 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 the
OutputKey
, your transcription output path is
s3://DOC-EXAMPLE-BUCKET/my-transcript.json
.
If you specify 'my-first-transcription' as the TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as
the OutputBucketName
, and 'my-transcript' as the OutputKey
, your transcription
output path is s3://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 the OutputKey
, your transcription output path is
s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json
.
If you specify 'my-first-transcription' as the TranscriptionJobName
, 'DOC-EXAMPLE-BUCKET' as
the OutputBucketName
, and 'test-files/my-transcript' as the OutputKey
, your
transcription output path is
s3://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.
public void setOutputEncryptionKMSKeyId(String outputEncryptionKMSKeyId)
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.
outputEncryptionKMSKeyId
- 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.
public String getOutputEncryptionKMSKeyId()
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.
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.
public StartTranscriptionJobRequest withOutputEncryptionKMSKeyId(String outputEncryptionKMSKeyId)
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.
outputEncryptionKMSKeyId
- 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.
public Map<String,String> getKMSEncryptionContext()
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.
public void setKMSEncryptionContext(Map<String,String> kMSEncryptionContext)
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.
kMSEncryptionContext
- 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.public StartTranscriptionJobRequest withKMSEncryptionContext(Map<String,String> kMSEncryptionContext)
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.
kMSEncryptionContext
- 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.public StartTranscriptionJobRequest addKMSEncryptionContextEntry(String key, String value)
public StartTranscriptionJobRequest clearKMSEncryptionContextEntries()
public void setSettings(Settings settings)
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 the
VocabularyName
or VocabularyFilterName
(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
or
VocabularyFilterName
sub-parameters.
settings
- 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 the
VocabularyName
or VocabularyFilterName
(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
or
VocabularyFilterName
sub-parameters.
public Settings getSettings()
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 the
VocabularyName
or VocabularyFilterName
(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
or
VocabularyFilterName
sub-parameters.
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 the
VocabularyName
or VocabularyFilterName
(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
or
VocabularyFilterName
sub-parameters.
public StartTranscriptionJobRequest withSettings(Settings settings)
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 the
VocabularyName
or VocabularyFilterName
(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
or
VocabularyFilterName
sub-parameters.
settings
- 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 the
VocabularyName
or VocabularyFilterName
(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
or
VocabularyFilterName
sub-parameters.
public void setModelSettings(ModelSettings modelSettings)
Specify the custom language model you want to include with your transcription job. If you include
ModelSettings
in your request, you must include the LanguageModelName
sub-parameter.
For more information, see Custom language models.
modelSettings
- Specify the custom language model you want to include with your transcription job. If you include
ModelSettings
in your request, you must include the LanguageModelName
sub-parameter.
For more information, see Custom language models.
public ModelSettings getModelSettings()
Specify the custom language model you want to include with your transcription job. If you include
ModelSettings
in your request, you must include the LanguageModelName
sub-parameter.
For more information, see Custom language models.
ModelSettings
in your request, you must include the LanguageModelName
sub-parameter.
For more information, see Custom language models.
public StartTranscriptionJobRequest withModelSettings(ModelSettings modelSettings)
Specify the custom language model you want to include with your transcription job. If you include
ModelSettings
in your request, you must include the LanguageModelName
sub-parameter.
For more information, see Custom language models.
modelSettings
- Specify the custom language model you want to include with your transcription job. If you include
ModelSettings
in your request, you must include the LanguageModelName
sub-parameter.
For more information, see Custom language models.
public void setJobExecutionSettings(JobExecutionSettings jobExecutionSettings)
Makes it possible to control how your transcription job is processed. Currently, the only
JobExecutionSettings
modification you can choose is enabling job queueing using the
AllowDeferredExecution
sub-parameter.
If you include JobExecutionSettings
in your request, you must also include the sub-parameters:
AllowDeferredExecution
and DataAccessRoleArn
.
jobExecutionSettings
- Makes it possible to control how your transcription job is processed. Currently, the only
JobExecutionSettings
modification you can choose is enabling job queueing using the
AllowDeferredExecution
sub-parameter.
If you include JobExecutionSettings
in your request, you must also include the
sub-parameters: AllowDeferredExecution
and DataAccessRoleArn
.
public JobExecutionSettings getJobExecutionSettings()
Makes it possible to control how your transcription job is processed. Currently, the only
JobExecutionSettings
modification you can choose is enabling job queueing using the
AllowDeferredExecution
sub-parameter.
If you include JobExecutionSettings
in your request, you must also include the sub-parameters:
AllowDeferredExecution
and DataAccessRoleArn
.
JobExecutionSettings
modification you can choose is enabling job queueing using the
AllowDeferredExecution
sub-parameter.
If you include JobExecutionSettings
in your request, you must also include the
sub-parameters: AllowDeferredExecution
and DataAccessRoleArn
.
public StartTranscriptionJobRequest withJobExecutionSettings(JobExecutionSettings jobExecutionSettings)
Makes it possible to control how your transcription job is processed. Currently, the only
JobExecutionSettings
modification you can choose is enabling job queueing using the
AllowDeferredExecution
sub-parameter.
If you include JobExecutionSettings
in your request, you must also include the sub-parameters:
AllowDeferredExecution
and DataAccessRoleArn
.
jobExecutionSettings
- Makes it possible to control how your transcription job is processed. Currently, the only
JobExecutionSettings
modification you can choose is enabling job queueing using the
AllowDeferredExecution
sub-parameter.
If you include JobExecutionSettings
in your request, you must also include the
sub-parameters: AllowDeferredExecution
and DataAccessRoleArn
.
public void setContentRedaction(ContentRedaction contentRedaction)
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
and
RedactionType
. You can optionally include PiiEntityTypes
to choose which types of PII
you want to redact. If you do not include PiiEntityTypes
in your request, all PII is redacted.
contentRedaction
- 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
and RedactionType
. You can optionally include
PiiEntityTypes
to choose which types of PII you want to redact. If you do not include
PiiEntityTypes
in your request, all PII is redacted.public ContentRedaction getContentRedaction()
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
and
RedactionType
. You can optionally include PiiEntityTypes
to choose which types of PII
you want to redact. If you do not include PiiEntityTypes
in your request, all PII is redacted.
ContentRedaction
, you must also include the sub-parameters:
RedactionOutput
and RedactionType
. You can optionally include
PiiEntityTypes
to choose which types of PII you want to redact. If you do not include
PiiEntityTypes
in your request, all PII is redacted.public StartTranscriptionJobRequest withContentRedaction(ContentRedaction contentRedaction)
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
and
RedactionType
. You can optionally include PiiEntityTypes
to choose which types of PII
you want to redact. If you do not include PiiEntityTypes
in your request, all PII is redacted.
contentRedaction
- 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
and RedactionType
. You can optionally include
PiiEntityTypes
to choose which types of PII you want to redact. If you do not include
PiiEntityTypes
in your request, all PII is redacted.public void setIdentifyLanguage(Boolean identifyLanguage)
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, using
LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
, and
VocabularyFilterName
). If you include LanguageIdSettings
, also include
LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters, your
transcription job fails.
identifyLanguage
- 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, using
LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
, and
VocabularyFilterName
). If you include LanguageIdSettings
, also include
LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters,
your transcription job fails.
public Boolean getIdentifyLanguage()
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, using
LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
, and
VocabularyFilterName
). If you include LanguageIdSettings
, also include
LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters, your
transcription job fails.
IdentifyMultipleLanguages
instead.
If you include IdentifyLanguage
, you can optionally include a list of language codes, using
LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
, and
VocabularyFilterName
). If you include LanguageIdSettings
, also include
LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters,
your transcription job fails.
public StartTranscriptionJobRequest withIdentifyLanguage(Boolean identifyLanguage)
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, using
LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
, and
VocabularyFilterName
). If you include LanguageIdSettings
, also include
LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters, your
transcription job fails.
identifyLanguage
- 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, using
LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
, and
VocabularyFilterName
). If you include LanguageIdSettings
, also include
LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters,
your transcription job fails.
public Boolean isIdentifyLanguage()
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, using
LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
, and
VocabularyFilterName
). If you include LanguageIdSettings
, also include
LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters, your
transcription job fails.
IdentifyMultipleLanguages
instead.
If you include IdentifyLanguage
, you can optionally include a list of language codes, using
LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
, and
VocabularyFilterName
). If you include LanguageIdSettings
, also include
LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters,
your transcription job fails.
public void setIdentifyMultipleLanguages(Boolean identifyMultipleLanguages)
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, using
LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
and VocabularyFilterName
). If you include LanguageIdSettings
, also include
LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters, your
transcription job fails.
identifyMultipleLanguages
- 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, using LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
and VocabularyFilterName
). If you include
LanguageIdSettings
, also include LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters,
your transcription job fails.
public Boolean getIdentifyMultipleLanguages()
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, using
LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
and VocabularyFilterName
). If you include LanguageIdSettings
, also include
LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters, your
transcription job fails.
IdentifyLanguage
instead.
If you include IdentifyMultipleLanguages
, you can optionally include a list of language
codes, using LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
and VocabularyFilterName
). If you include
LanguageIdSettings
, also include LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters,
your transcription job fails.
public StartTranscriptionJobRequest withIdentifyMultipleLanguages(Boolean identifyMultipleLanguages)
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, using
LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
and VocabularyFilterName
). If you include LanguageIdSettings
, also include
LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters, your
transcription job fails.
identifyMultipleLanguages
- 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, using LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
and VocabularyFilterName
). If you include
LanguageIdSettings
, also include LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters,
your transcription job fails.
public Boolean isIdentifyMultipleLanguages()
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, using
LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
and VocabularyFilterName
). If you include LanguageIdSettings
, also include
LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters, your
transcription job fails.
IdentifyLanguage
instead.
If you include IdentifyMultipleLanguages
, you can optionally include a list of language
codes, using LanguageOptions
, that you think may be present in your media file. Including
LanguageOptions
restricts IdentifyLanguage
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
and VocabularyFilterName
). If you include
LanguageIdSettings
, also include LanguageOptions
.
Note that you must include one of LanguageCode
, IdentifyLanguage
, or
IdentifyMultipleLanguages
in your request. If you include more than one of these parameters,
your transcription job fails.
public List<String> getLanguageOptions()
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 include IdentifyLanguage
.
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.
If you include LanguageOptions
in your request, you must also include
IdentifyLanguage
.
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.
LanguageCode
public void setLanguageOptions(Collection<String> languageOptions)
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 include IdentifyLanguage
.
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.
languageOptions
- 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 include
IdentifyLanguage
.
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.
LanguageCode
public StartTranscriptionJobRequest withLanguageOptions(String... languageOptions)
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 include IdentifyLanguage
.
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.
NOTE: This method appends the values to the existing list (if any). Use
setLanguageOptions(java.util.Collection)
or withLanguageOptions(java.util.Collection)
if you
want to override the existing values.
languageOptions
- 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 include
IdentifyLanguage
.
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.
LanguageCode
public StartTranscriptionJobRequest withLanguageOptions(Collection<String> languageOptions)
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 include IdentifyLanguage
.
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.
languageOptions
- 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 include
IdentifyLanguage
.
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.
LanguageCode
public StartTranscriptionJobRequest withLanguageOptions(LanguageCode... languageOptions)
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 include IdentifyLanguage
.
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.
languageOptions
- 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 include
IdentifyLanguage
.
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.
LanguageCode
public void setSubtitles(Subtitles subtitles)
Produces subtitle files for your input media. You can specify WebVTT (*.vtt) and SubRip (*.srt) formats.
subtitles
- Produces subtitle files for your input media. You can specify WebVTT (*.vtt) and SubRip (*.srt) formats.public Subtitles getSubtitles()
Produces subtitle files for your input media. You can specify WebVTT (*.vtt) and SubRip (*.srt) formats.
public StartTranscriptionJobRequest withSubtitles(Subtitles subtitles)
Produces subtitle files for your input media. You can specify WebVTT (*.vtt) and SubRip (*.srt) formats.
subtitles
- Produces subtitle files for your input media. You can specify WebVTT (*.vtt) and SubRip (*.srt) formats.public List<Tag> getTags()
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.
To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
public void setTags(Collection<Tag> tags)
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.
tags
- 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.
public StartTranscriptionJobRequest withTags(Tag... tags)
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.
NOTE: This method appends the values to the existing list (if any). Use
setTags(java.util.Collection)
or withTags(java.util.Collection)
if you want to override the
existing values.
tags
- 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.
public StartTranscriptionJobRequest withTags(Collection<Tag> tags)
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.
tags
- 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.
public Map<String,LanguageIdSettings> getLanguageIdSettings()
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
, and
VocabularyFilterName
). 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 using LanguageIdSettings
to
ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is
in en-US
but Amazon Transcribe determines that the language spoken in your media is
en-AU
, your custom vocabulary is not applied to your transcription. If you include
LanguageOptions
and include en-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 the
parameter with the
VocabularyName
or VocabularyFilterName
(or both)
sub-parameter.
LanguageIdSettings
with the
relevant sub-parameters (VocabularyName
, LanguageModelName
, and
VocabularyFilterName
). 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 using LanguageIdSettings
to ensure that the correct language dialect is identified. For example, if you specify a custom
vocabulary that is in en-US
but Amazon Transcribe determines that the language spoken in
your media is en-AU
, your custom vocabulary is not applied to your transcription. If
you include LanguageOptions
and include en-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 the
parameter with the
VocabularyName
or VocabularyFilterName
(or both)
sub-parameter.
public void setLanguageIdSettings(Map<String,LanguageIdSettings> languageIdSettings)
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
, and
VocabularyFilterName
). 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 using LanguageIdSettings
to
ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is
in en-US
but Amazon Transcribe determines that the language spoken in your media is
en-AU
, your custom vocabulary is not applied to your transcription. If you include
LanguageOptions
and include en-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 the
parameter with the
VocabularyName
or VocabularyFilterName
(or both)
sub-parameter.
languageIdSettings
- 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
, and
VocabularyFilterName
). 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 using LanguageIdSettings
to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary
that is in en-US
but Amazon Transcribe determines that the language spoken in your media is
en-AU
, your custom vocabulary is not applied to your transcription. If you include
LanguageOptions
and include en-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 the
parameter with the
VocabularyName
or VocabularyFilterName
(or both)
sub-parameter.
public StartTranscriptionJobRequest withLanguageIdSettings(Map<String,LanguageIdSettings> languageIdSettings)
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
, and
VocabularyFilterName
). 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 using LanguageIdSettings
to
ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is
in en-US
but Amazon Transcribe determines that the language spoken in your media is
en-AU
, your custom vocabulary is not applied to your transcription. If you include
LanguageOptions
and include en-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 the
parameter with the
VocabularyName
or VocabularyFilterName
(or both)
sub-parameter.
languageIdSettings
- 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
, and
VocabularyFilterName
). 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 using LanguageIdSettings
to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary
that is in en-US
but Amazon Transcribe determines that the language spoken in your media is
en-AU
, your custom vocabulary is not applied to your transcription. If you include
LanguageOptions
and include en-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 the
parameter with the
VocabularyName
or VocabularyFilterName
(or both)
sub-parameter.
public StartTranscriptionJobRequest addLanguageIdSettingsEntry(String key, LanguageIdSettings value)
public StartTranscriptionJobRequest clearLanguageIdSettingsEntries()
public List<ToxicityDetectionSettings> getToxicityDetection()
Enables toxic speech detection in your transcript. If you include ToxicityDetection
in your request,
you must also include ToxicityCategories
.
For information on the types of toxic speech Amazon Transcribe can detect, see Detecting toxic speech.
ToxicityDetection
in your
request, you must also include ToxicityCategories
.
For information on the types of toxic speech Amazon Transcribe can detect, see Detecting toxic speech.
public void setToxicityDetection(Collection<ToxicityDetectionSettings> toxicityDetection)
Enables toxic speech detection in your transcript. If you include ToxicityDetection
in your request,
you must also include ToxicityCategories
.
For information on the types of toxic speech Amazon Transcribe can detect, see Detecting toxic speech.
toxicityDetection
- Enables toxic speech detection in your transcript. If you include ToxicityDetection
in your
request, you must also include ToxicityCategories
.
For information on the types of toxic speech Amazon Transcribe can detect, see Detecting toxic speech.
public StartTranscriptionJobRequest withToxicityDetection(ToxicityDetectionSettings... toxicityDetection)
Enables toxic speech detection in your transcript. If you include ToxicityDetection
in your request,
you must also include ToxicityCategories
.
For information on the types of toxic speech Amazon Transcribe can detect, see Detecting toxic speech.
NOTE: This method appends the values to the existing list (if any). Use
setToxicityDetection(java.util.Collection)
or withToxicityDetection(java.util.Collection)
if
you want to override the existing values.
toxicityDetection
- Enables toxic speech detection in your transcript. If you include ToxicityDetection
in your
request, you must also include ToxicityCategories
.
For information on the types of toxic speech Amazon Transcribe can detect, see Detecting toxic speech.
public StartTranscriptionJobRequest withToxicityDetection(Collection<ToxicityDetectionSettings> toxicityDetection)
Enables toxic speech detection in your transcript. If you include ToxicityDetection
in your request,
you must also include ToxicityCategories
.
For information on the types of toxic speech Amazon Transcribe can detect, see Detecting toxic speech.
toxicityDetection
- Enables toxic speech detection in your transcript. If you include ToxicityDetection
in your
request, you must also include ToxicityCategories
.
For information on the types of toxic speech Amazon Transcribe can detect, see Detecting toxic speech.
public String toString()
toString
in class Object
Object.toString()
public StartTranscriptionJobRequest clone()
AmazonWebServiceRequest
clone
in class AmazonWebServiceRequest
Object.clone()