@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AmazonTranscribeProcessorConfiguration extends Object implements Serializable, Cloneable, StructuredPojo
A structure that contains the configuration settings for an Amazon Transcribe processor.
Constructor and Description |
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AmazonTranscribeProcessorConfiguration() |
Modifier and Type | Method and Description |
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AmazonTranscribeProcessorConfiguration |
clone() |
boolean |
equals(Object obj) |
String |
getContentIdentificationType()
Labels all personally identifiable information (PII) identified in your transcript.
|
String |
getContentRedactionType()
Redacts all personally identifiable information (PII) identified in your transcript.
|
Boolean |
getEnablePartialResultsStabilization()
Enables partial result stabilization for your transcription.
|
Boolean |
getFilterPartialResults()
If true,
TranscriptEvents with IsPartial: true are filtered out of the insights target. |
Boolean |
getIdentifyLanguage()
Turns language identification on or off.
|
String |
getLanguageCode()
The language code that represents the language spoken in your audio.
|
String |
getLanguageModelName()
The name of the custom language model that you want to use when processing your transcription.
|
String |
getLanguageOptions()
The language options for the transcription, such as automatic language detection.
|
String |
getPartialResultsStability()
The level of stability to use when you enable partial results stabilization (
EnablePartialResultsStabilization ). |
String |
getPiiEntityTypes()
The types of personally identifiable information (PII) to redact from a transcript.
|
String |
getPreferredLanguage()
The preferred language for the transcription.
|
Boolean |
getShowSpeakerLabel()
Enables speaker partitioning (diarization) in your transcription output.
|
String |
getVocabularyFilterMethod()
The vocabulary filtering method used in your Call Analytics transcription.
|
String |
getVocabularyFilterName()
The name of the custom vocabulary filter that you specified in your Call Analytics request.
|
String |
getVocabularyFilterNames()
The names of the custom vocabulary filter or filters using during transcription.
|
String |
getVocabularyName()
The name of the custom vocabulary that you specified in your Call Analytics request.
|
String |
getVocabularyNames()
The names of the custom vocabulary or vocabularies used during transcription.
|
int |
hashCode() |
Boolean |
isEnablePartialResultsStabilization()
Enables partial result stabilization for your transcription.
|
Boolean |
isFilterPartialResults()
If true,
TranscriptEvents with IsPartial: true are filtered out of the insights target. |
Boolean |
isIdentifyLanguage()
Turns language identification on or off.
|
Boolean |
isShowSpeakerLabel()
Enables speaker partitioning (diarization) in your transcription output.
|
void |
marshall(ProtocolMarshaller protocolMarshaller)
Marshalls this structured data using the given
ProtocolMarshaller . |
void |
setContentIdentificationType(String contentIdentificationType)
Labels all personally identifiable information (PII) identified in your transcript.
|
void |
setContentRedactionType(String contentRedactionType)
Redacts all personally identifiable information (PII) identified in your transcript.
|
void |
setEnablePartialResultsStabilization(Boolean enablePartialResultsStabilization)
Enables partial result stabilization for your transcription.
|
void |
setFilterPartialResults(Boolean filterPartialResults)
If true,
TranscriptEvents with IsPartial: true are filtered out of the insights target. |
void |
setIdentifyLanguage(Boolean identifyLanguage)
Turns language identification on or off.
|
void |
setLanguageCode(String languageCode)
The language code that represents the language spoken in your audio.
|
void |
setLanguageModelName(String languageModelName)
The name of the custom language model that you want to use when processing your transcription.
|
void |
setLanguageOptions(String languageOptions)
The language options for the transcription, such as automatic language detection.
|
void |
setPartialResultsStability(String partialResultsStability)
The level of stability to use when you enable partial results stabilization (
EnablePartialResultsStabilization ). |
void |
setPiiEntityTypes(String piiEntityTypes)
The types of personally identifiable information (PII) to redact from a transcript.
|
void |
setPreferredLanguage(String preferredLanguage)
The preferred language for the transcription.
|
void |
setShowSpeakerLabel(Boolean showSpeakerLabel)
Enables speaker partitioning (diarization) in your transcription output.
|
void |
setVocabularyFilterMethod(String vocabularyFilterMethod)
The vocabulary filtering method used in your Call Analytics transcription.
|
void |
setVocabularyFilterName(String vocabularyFilterName)
The name of the custom vocabulary filter that you specified in your Call Analytics request.
|
void |
setVocabularyFilterNames(String vocabularyFilterNames)
The names of the custom vocabulary filter or filters using during transcription.
|
void |
setVocabularyName(String vocabularyName)
The name of the custom vocabulary that you specified in your Call Analytics request.
|
void |
setVocabularyNames(String vocabularyNames)
The names of the custom vocabulary or vocabularies used during transcription.
|
String |
toString()
Returns a string representation of this object.
|
AmazonTranscribeProcessorConfiguration |
withContentIdentificationType(ContentType contentIdentificationType)
Labels all personally identifiable information (PII) identified in your transcript.
|
AmazonTranscribeProcessorConfiguration |
withContentIdentificationType(String contentIdentificationType)
Labels all personally identifiable information (PII) identified in your transcript.
|
AmazonTranscribeProcessorConfiguration |
withContentRedactionType(ContentType contentRedactionType)
Redacts all personally identifiable information (PII) identified in your transcript.
|
AmazonTranscribeProcessorConfiguration |
withContentRedactionType(String contentRedactionType)
Redacts all personally identifiable information (PII) identified in your transcript.
|
AmazonTranscribeProcessorConfiguration |
withEnablePartialResultsStabilization(Boolean enablePartialResultsStabilization)
Enables partial result stabilization for your transcription.
|
AmazonTranscribeProcessorConfiguration |
withFilterPartialResults(Boolean filterPartialResults)
If true,
TranscriptEvents with IsPartial: true are filtered out of the insights target. |
AmazonTranscribeProcessorConfiguration |
withIdentifyLanguage(Boolean identifyLanguage)
Turns language identification on or off.
|
AmazonTranscribeProcessorConfiguration |
withLanguageCode(CallAnalyticsLanguageCode languageCode)
The language code that represents the language spoken in your audio.
|
AmazonTranscribeProcessorConfiguration |
withLanguageCode(String languageCode)
The language code that represents the language spoken in your audio.
|
AmazonTranscribeProcessorConfiguration |
withLanguageModelName(String languageModelName)
The name of the custom language model that you want to use when processing your transcription.
|
AmazonTranscribeProcessorConfiguration |
withLanguageOptions(String languageOptions)
The language options for the transcription, such as automatic language detection.
|
AmazonTranscribeProcessorConfiguration |
withPartialResultsStability(PartialResultsStability partialResultsStability)
The level of stability to use when you enable partial results stabilization (
EnablePartialResultsStabilization ). |
AmazonTranscribeProcessorConfiguration |
withPartialResultsStability(String partialResultsStability)
The level of stability to use when you enable partial results stabilization (
EnablePartialResultsStabilization ). |
AmazonTranscribeProcessorConfiguration |
withPiiEntityTypes(String piiEntityTypes)
The types of personally identifiable information (PII) to redact from a transcript.
|
AmazonTranscribeProcessorConfiguration |
withPreferredLanguage(CallAnalyticsLanguageCode preferredLanguage)
The preferred language for the transcription.
|
AmazonTranscribeProcessorConfiguration |
withPreferredLanguage(String preferredLanguage)
The preferred language for the transcription.
|
AmazonTranscribeProcessorConfiguration |
withShowSpeakerLabel(Boolean showSpeakerLabel)
Enables speaker partitioning (diarization) in your transcription output.
|
AmazonTranscribeProcessorConfiguration |
withVocabularyFilterMethod(String vocabularyFilterMethod)
The vocabulary filtering method used in your Call Analytics transcription.
|
AmazonTranscribeProcessorConfiguration |
withVocabularyFilterMethod(VocabularyFilterMethod vocabularyFilterMethod)
The vocabulary filtering method used in your Call Analytics transcription.
|
AmazonTranscribeProcessorConfiguration |
withVocabularyFilterName(String vocabularyFilterName)
The name of the custom vocabulary filter that you specified in your Call Analytics request.
|
AmazonTranscribeProcessorConfiguration |
withVocabularyFilterNames(String vocabularyFilterNames)
The names of the custom vocabulary filter or filters using during transcription.
|
AmazonTranscribeProcessorConfiguration |
withVocabularyName(String vocabularyName)
The name of the custom vocabulary that you specified in your Call Analytics request.
|
AmazonTranscribeProcessorConfiguration |
withVocabularyNames(String vocabularyNames)
The names of the custom vocabulary or vocabularies used during transcription.
|
public AmazonTranscribeProcessorConfiguration()
public void setLanguageCode(String languageCode)
The language code that represents the language spoken in your audio.
If you're unsure of the language spoken in your audio, consider using IdentifyLanguage
to enable
automatic language identification.
For a list of languages that real-time Call Analytics supports, see the Supported languages table in the Amazon Transcribe Developer Guide.
languageCode
- The language code that represents the language spoken in your audio.
If you're unsure of the language spoken in your audio, consider using IdentifyLanguage
to
enable automatic language identification.
For a list of languages that real-time Call Analytics supports, see the Supported languages table in the Amazon Transcribe Developer Guide.
CallAnalyticsLanguageCode
public String getLanguageCode()
The language code that represents the language spoken in your audio.
If you're unsure of the language spoken in your audio, consider using IdentifyLanguage
to enable
automatic language identification.
For a list of languages that real-time Call Analytics supports, see the Supported languages table in the Amazon Transcribe Developer Guide.
If you're unsure of the language spoken in your audio, consider using IdentifyLanguage
to
enable automatic language identification.
For a list of languages that real-time Call Analytics supports, see the Supported languages table in the Amazon Transcribe Developer Guide.
CallAnalyticsLanguageCode
public AmazonTranscribeProcessorConfiguration withLanguageCode(String languageCode)
The language code that represents the language spoken in your audio.
If you're unsure of the language spoken in your audio, consider using IdentifyLanguage
to enable
automatic language identification.
For a list of languages that real-time Call Analytics supports, see the Supported languages table in the Amazon Transcribe Developer Guide.
languageCode
- The language code that represents the language spoken in your audio.
If you're unsure of the language spoken in your audio, consider using IdentifyLanguage
to
enable automatic language identification.
For a list of languages that real-time Call Analytics supports, see the Supported languages table in the Amazon Transcribe Developer Guide.
CallAnalyticsLanguageCode
public AmazonTranscribeProcessorConfiguration withLanguageCode(CallAnalyticsLanguageCode languageCode)
The language code that represents the language spoken in your audio.
If you're unsure of the language spoken in your audio, consider using IdentifyLanguage
to enable
automatic language identification.
For a list of languages that real-time Call Analytics supports, see the Supported languages table in the Amazon Transcribe Developer Guide.
languageCode
- The language code that represents the language spoken in your audio.
If you're unsure of the language spoken in your audio, consider using IdentifyLanguage
to
enable automatic language identification.
For a list of languages that real-time Call Analytics supports, see the Supported languages table in the Amazon Transcribe Developer Guide.
CallAnalyticsLanguageCode
public void setVocabularyName(String vocabularyName)
The name of the custom vocabulary that you specified in your Call Analytics request.
Length Constraints: Minimum length of 1. Maximum length of 200.
vocabularyName
- The name of the custom vocabulary that you specified in your Call Analytics request.
Length Constraints: Minimum length of 1. Maximum length of 200.
public String getVocabularyName()
The name of the custom vocabulary that you specified in your Call Analytics request.
Length Constraints: Minimum length of 1. Maximum length of 200.
Length Constraints: Minimum length of 1. Maximum length of 200.
public AmazonTranscribeProcessorConfiguration withVocabularyName(String vocabularyName)
The name of the custom vocabulary that you specified in your Call Analytics request.
Length Constraints: Minimum length of 1. Maximum length of 200.
vocabularyName
- The name of the custom vocabulary that you specified in your Call Analytics request.
Length Constraints: Minimum length of 1. Maximum length of 200.
public void setVocabularyFilterName(String vocabularyFilterName)
The name of the custom vocabulary filter that you specified in your Call Analytics request.
Length Constraints: Minimum length of 1. Maximum length of 200.
vocabularyFilterName
- The name of the custom vocabulary filter that you specified in your Call Analytics request.
Length Constraints: Minimum length of 1. Maximum length of 200.
public String getVocabularyFilterName()
The name of the custom vocabulary filter that you specified in your Call Analytics request.
Length Constraints: Minimum length of 1. Maximum length of 200.
Length Constraints: Minimum length of 1. Maximum length of 200.
public AmazonTranscribeProcessorConfiguration withVocabularyFilterName(String vocabularyFilterName)
The name of the custom vocabulary filter that you specified in your Call Analytics request.
Length Constraints: Minimum length of 1. Maximum length of 200.
vocabularyFilterName
- The name of the custom vocabulary filter that you specified in your Call Analytics request.
Length Constraints: Minimum length of 1. Maximum length of 200.
public void setVocabularyFilterMethod(String vocabularyFilterMethod)
The vocabulary filtering method used in your Call Analytics transcription.
vocabularyFilterMethod
- The vocabulary filtering method used in your Call Analytics transcription.VocabularyFilterMethod
public String getVocabularyFilterMethod()
The vocabulary filtering method used in your Call Analytics transcription.
VocabularyFilterMethod
public AmazonTranscribeProcessorConfiguration withVocabularyFilterMethod(String vocabularyFilterMethod)
The vocabulary filtering method used in your Call Analytics transcription.
vocabularyFilterMethod
- The vocabulary filtering method used in your Call Analytics transcription.VocabularyFilterMethod
public AmazonTranscribeProcessorConfiguration withVocabularyFilterMethod(VocabularyFilterMethod vocabularyFilterMethod)
The vocabulary filtering method used in your Call Analytics transcription.
vocabularyFilterMethod
- The vocabulary filtering method used in your Call Analytics transcription.VocabularyFilterMethod
public void setShowSpeakerLabel(Boolean showSpeakerLabel)
Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.
For more information, see Partitioning speakers (diarization) in the Amazon Transcribe Developer Guide.
showSpeakerLabel
- Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the
speech from individual speakers in your media file.
For more information, see Partitioning speakers (diarization) in the Amazon Transcribe Developer Guide.
public Boolean getShowSpeakerLabel()
Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.
For more information, see Partitioning speakers (diarization) in the Amazon Transcribe Developer Guide.
For more information, see Partitioning speakers (diarization) in the Amazon Transcribe Developer Guide.
public AmazonTranscribeProcessorConfiguration withShowSpeakerLabel(Boolean showSpeakerLabel)
Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.
For more information, see Partitioning speakers (diarization) in the Amazon Transcribe Developer Guide.
showSpeakerLabel
- Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the
speech from individual speakers in your media file.
For more information, see Partitioning speakers (diarization) in the Amazon Transcribe Developer Guide.
public Boolean isShowSpeakerLabel()
Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.
For more information, see Partitioning speakers (diarization) in the Amazon Transcribe Developer Guide.
For more information, see Partitioning speakers (diarization) in the Amazon Transcribe Developer Guide.
public void setEnablePartialResultsStabilization(Boolean enablePartialResultsStabilization)
Enables partial result stabilization for your transcription. Partial result stabilization can reduce latency in your output, but may impact accuracy.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
enablePartialResultsStabilization
- Enables partial result stabilization for your transcription. Partial result stabilization can reduce
latency in your output, but may impact accuracy.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
public Boolean getEnablePartialResultsStabilization()
Enables partial result stabilization for your transcription. Partial result stabilization can reduce latency in your output, but may impact accuracy.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
public AmazonTranscribeProcessorConfiguration withEnablePartialResultsStabilization(Boolean enablePartialResultsStabilization)
Enables partial result stabilization for your transcription. Partial result stabilization can reduce latency in your output, but may impact accuracy.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
enablePartialResultsStabilization
- Enables partial result stabilization for your transcription. Partial result stabilization can reduce
latency in your output, but may impact accuracy.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
public Boolean isEnablePartialResultsStabilization()
Enables partial result stabilization for your transcription. Partial result stabilization can reduce latency in your output, but may impact accuracy.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
public void setPartialResultsStability(String partialResultsStability)
The level of stability to use when you enable partial results stabilization (
EnablePartialResultsStabilization
).
Low stability provides the highest accuracy. High stability transcribes faster, but with slightly lower accuracy.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
partialResultsStability
- The level of stability to use when you enable partial results stabilization (
EnablePartialResultsStabilization
).
Low stability provides the highest accuracy. High stability transcribes faster, but with slightly lower accuracy.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
PartialResultsStability
public String getPartialResultsStability()
The level of stability to use when you enable partial results stabilization (
EnablePartialResultsStabilization
).
Low stability provides the highest accuracy. High stability transcribes faster, but with slightly lower accuracy.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
EnablePartialResultsStabilization
).
Low stability provides the highest accuracy. High stability transcribes faster, but with slightly lower accuracy.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
PartialResultsStability
public AmazonTranscribeProcessorConfiguration withPartialResultsStability(String partialResultsStability)
The level of stability to use when you enable partial results stabilization (
EnablePartialResultsStabilization
).
Low stability provides the highest accuracy. High stability transcribes faster, but with slightly lower accuracy.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
partialResultsStability
- The level of stability to use when you enable partial results stabilization (
EnablePartialResultsStabilization
).
Low stability provides the highest accuracy. High stability transcribes faster, but with slightly lower accuracy.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
PartialResultsStability
public AmazonTranscribeProcessorConfiguration withPartialResultsStability(PartialResultsStability partialResultsStability)
The level of stability to use when you enable partial results stabilization (
EnablePartialResultsStabilization
).
Low stability provides the highest accuracy. High stability transcribes faster, but with slightly lower accuracy.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
partialResultsStability
- The level of stability to use when you enable partial results stabilization (
EnablePartialResultsStabilization
).
Low stability provides the highest accuracy. High stability transcribes faster, but with slightly lower accuracy.
For more information, see Partial-result stabilization in the Amazon Transcribe Developer Guide.
PartialResultsStability
public void setContentIdentificationType(String contentIdentificationType)
Labels all personally identifiable information (PII) identified in your transcript.
Content identification is performed at the segment level; PII specified in PiiEntityTypes
is flagged
upon complete transcription of an audio segment.
You can’t set ContentIdentificationType
and ContentRedactionType
in the same request.
If you set both, your request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
contentIdentificationType
- Labels all personally identifiable information (PII) identified in your transcript.
Content identification is performed at the segment level; PII specified in PiiEntityTypes
is
flagged upon complete transcription of an audio segment.
You can’t set ContentIdentificationType
and ContentRedactionType
in the same
request. If you set both, your request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
ContentType
public String getContentIdentificationType()
Labels all personally identifiable information (PII) identified in your transcript.
Content identification is performed at the segment level; PII specified in PiiEntityTypes
is flagged
upon complete transcription of an audio segment.
You can’t set ContentIdentificationType
and ContentRedactionType
in the same request.
If you set both, your request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
Content identification is performed at the segment level; PII specified in PiiEntityTypes
is
flagged upon complete transcription of an audio segment.
You can’t set ContentIdentificationType
and ContentRedactionType
in the same
request. If you set both, your request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
ContentType
public AmazonTranscribeProcessorConfiguration withContentIdentificationType(String contentIdentificationType)
Labels all personally identifiable information (PII) identified in your transcript.
Content identification is performed at the segment level; PII specified in PiiEntityTypes
is flagged
upon complete transcription of an audio segment.
You can’t set ContentIdentificationType
and ContentRedactionType
in the same request.
If you set both, your request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
contentIdentificationType
- Labels all personally identifiable information (PII) identified in your transcript.
Content identification is performed at the segment level; PII specified in PiiEntityTypes
is
flagged upon complete transcription of an audio segment.
You can’t set ContentIdentificationType
and ContentRedactionType
in the same
request. If you set both, your request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
ContentType
public AmazonTranscribeProcessorConfiguration withContentIdentificationType(ContentType contentIdentificationType)
Labels all personally identifiable information (PII) identified in your transcript.
Content identification is performed at the segment level; PII specified in PiiEntityTypes
is flagged
upon complete transcription of an audio segment.
You can’t set ContentIdentificationType
and ContentRedactionType
in the same request.
If you set both, your request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
contentIdentificationType
- Labels all personally identifiable information (PII) identified in your transcript.
Content identification is performed at the segment level; PII specified in PiiEntityTypes
is
flagged upon complete transcription of an audio segment.
You can’t set ContentIdentificationType
and ContentRedactionType
in the same
request. If you set both, your request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
ContentType
public void setContentRedactionType(String contentRedactionType)
Redacts all personally identifiable information (PII) identified in your transcript.
Content redaction is performed at the segment level; PII specified in PiiEntityTypes is redacted upon complete transcription of an audio segment.
You can’t set ContentRedactionType and ContentIdentificationType in the same request. If you set both, your
request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
contentRedactionType
- Redacts all personally identifiable information (PII) identified in your transcript.
Content redaction is performed at the segment level; PII specified in PiiEntityTypes is redacted upon complete transcription of an audio segment.
You can’t set ContentRedactionType and ContentIdentificationType in the same request. If you set both,
your request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
ContentType
public String getContentRedactionType()
Redacts all personally identifiable information (PII) identified in your transcript.
Content redaction is performed at the segment level; PII specified in PiiEntityTypes is redacted upon complete transcription of an audio segment.
You can’t set ContentRedactionType and ContentIdentificationType in the same request. If you set both, your
request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
Content redaction is performed at the segment level; PII specified in PiiEntityTypes is redacted upon complete transcription of an audio segment.
You can’t set ContentRedactionType and ContentIdentificationType in the same request. If you set both,
your request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
ContentType
public AmazonTranscribeProcessorConfiguration withContentRedactionType(String contentRedactionType)
Redacts all personally identifiable information (PII) identified in your transcript.
Content redaction is performed at the segment level; PII specified in PiiEntityTypes is redacted upon complete transcription of an audio segment.
You can’t set ContentRedactionType and ContentIdentificationType in the same request. If you set both, your
request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
contentRedactionType
- Redacts all personally identifiable information (PII) identified in your transcript.
Content redaction is performed at the segment level; PII specified in PiiEntityTypes is redacted upon complete transcription of an audio segment.
You can’t set ContentRedactionType and ContentIdentificationType in the same request. If you set both,
your request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
ContentType
public AmazonTranscribeProcessorConfiguration withContentRedactionType(ContentType contentRedactionType)
Redacts all personally identifiable information (PII) identified in your transcript.
Content redaction is performed at the segment level; PII specified in PiiEntityTypes is redacted upon complete transcription of an audio segment.
You can’t set ContentRedactionType and ContentIdentificationType in the same request. If you set both, your
request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
contentRedactionType
- Redacts all personally identifiable information (PII) identified in your transcript.
Content redaction is performed at the segment level; PII specified in PiiEntityTypes is redacted upon complete transcription of an audio segment.
You can’t set ContentRedactionType and ContentIdentificationType in the same request. If you set both,
your request returns a BadRequestException
.
For more information, see Redacting or identifying personally identifiable information in the Amazon Transcribe Developer Guide.
ContentType
public void setPiiEntityTypes(String piiEntityTypes)
The types of personally identifiable information (PII) to redact from a transcript. You can include as many types
as you'd like, or you can select ALL
.
To include PiiEntityTypes
in your Call Analytics request, you must also include
ContentIdentificationType
or ContentRedactionType
, but you can't include both.
Values must be comma-separated and can include: ADDRESS
, BANK_ACCOUNT_NUMBER
,
BANK_ROUTING
, CREDIT_DEBIT_CVV
, CREDIT_DEBIT_EXPIRY
,
CREDIT_DEBIT_NUMBER
, EMAIL
, NAME
, PHONE
, PIN
,
SSN
, or ALL
.
If you leave this parameter empty, the default behavior is equivalent to ALL
.
piiEntityTypes
- The types of personally identifiable information (PII) to redact from a transcript. You can include as
many types as you'd like, or you can select ALL
.
To include PiiEntityTypes
in your Call Analytics request, you must also include
ContentIdentificationType
or ContentRedactionType
, but you can't include both.
Values must be comma-separated and can include: ADDRESS
, BANK_ACCOUNT_NUMBER
,
BANK_ROUTING
, CREDIT_DEBIT_CVV
, CREDIT_DEBIT_EXPIRY
,
CREDIT_DEBIT_NUMBER
, EMAIL
, NAME
, PHONE
,
PIN
, SSN
, or ALL
.
If you leave this parameter empty, the default behavior is equivalent to ALL
.
public String getPiiEntityTypes()
The types of personally identifiable information (PII) to redact from a transcript. You can include as many types
as you'd like, or you can select ALL
.
To include PiiEntityTypes
in your Call Analytics request, you must also include
ContentIdentificationType
or ContentRedactionType
, but you can't include both.
Values must be comma-separated and can include: ADDRESS
, BANK_ACCOUNT_NUMBER
,
BANK_ROUTING
, CREDIT_DEBIT_CVV
, CREDIT_DEBIT_EXPIRY
,
CREDIT_DEBIT_NUMBER
, EMAIL
, NAME
, PHONE
, PIN
,
SSN
, or ALL
.
If you leave this parameter empty, the default behavior is equivalent to ALL
.
ALL
.
To include PiiEntityTypes
in your Call Analytics request, you must also include
ContentIdentificationType
or ContentRedactionType
, but you can't include both.
Values must be comma-separated and can include: ADDRESS
, BANK_ACCOUNT_NUMBER
,
BANK_ROUTING
, CREDIT_DEBIT_CVV
, CREDIT_DEBIT_EXPIRY
,
CREDIT_DEBIT_NUMBER
, EMAIL
, NAME
, PHONE
,
PIN
, SSN
, or ALL
.
If you leave this parameter empty, the default behavior is equivalent to ALL
.
public AmazonTranscribeProcessorConfiguration withPiiEntityTypes(String piiEntityTypes)
The types of personally identifiable information (PII) to redact from a transcript. You can include as many types
as you'd like, or you can select ALL
.
To include PiiEntityTypes
in your Call Analytics request, you must also include
ContentIdentificationType
or ContentRedactionType
, but you can't include both.
Values must be comma-separated and can include: ADDRESS
, BANK_ACCOUNT_NUMBER
,
BANK_ROUTING
, CREDIT_DEBIT_CVV
, CREDIT_DEBIT_EXPIRY
,
CREDIT_DEBIT_NUMBER
, EMAIL
, NAME
, PHONE
, PIN
,
SSN
, or ALL
.
If you leave this parameter empty, the default behavior is equivalent to ALL
.
piiEntityTypes
- The types of personally identifiable information (PII) to redact from a transcript. You can include as
many types as you'd like, or you can select ALL
.
To include PiiEntityTypes
in your Call Analytics request, you must also include
ContentIdentificationType
or ContentRedactionType
, but you can't include both.
Values must be comma-separated and can include: ADDRESS
, BANK_ACCOUNT_NUMBER
,
BANK_ROUTING
, CREDIT_DEBIT_CVV
, CREDIT_DEBIT_EXPIRY
,
CREDIT_DEBIT_NUMBER
, EMAIL
, NAME
, PHONE
,
PIN
, SSN
, or ALL
.
If you leave this parameter empty, the default behavior is equivalent to ALL
.
public void setLanguageModelName(String languageModelName)
The name of the custom language model that you want to use when processing your transcription. Note that language model names are case sensitive.
The language of the specified language model must match the language code you specify in your transcription request. If the languages don't match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
For more information, see Custom language models in the Amazon Transcribe Developer Guide.
languageModelName
- The name of the custom language model that you want to use when processing your transcription. Note that
language model names are case sensitive.
The language of the specified language model must match the language code you specify in your transcription request. If the languages don't match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
For more information, see Custom language models in the Amazon Transcribe Developer Guide.
public String getLanguageModelName()
The name of the custom language model that you want to use when processing your transcription. Note that language model names are case sensitive.
The language of the specified language model must match the language code you specify in your transcription request. If the languages don't match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
For more information, see Custom language models in the Amazon Transcribe Developer Guide.
The language of the specified language model must match the language code you specify in your transcription request. If the languages don't match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
For more information, see Custom language models in the Amazon Transcribe Developer Guide.
public AmazonTranscribeProcessorConfiguration withLanguageModelName(String languageModelName)
The name of the custom language model that you want to use when processing your transcription. Note that language model names are case sensitive.
The language of the specified language model must match the language code you specify in your transcription request. If the languages don't match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
For more information, see Custom language models in the Amazon Transcribe Developer Guide.
languageModelName
- The name of the custom language model that you want to use when processing your transcription. Note that
language model names are case sensitive.
The language of the specified language model must match the language code you specify in your transcription request. If the languages don't match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
For more information, see Custom language models in the Amazon Transcribe Developer Guide.
public void setFilterPartialResults(Boolean filterPartialResults)
If true, TranscriptEvents
with IsPartial: true
are filtered out of the insights target.
filterPartialResults
- If true, TranscriptEvents
with IsPartial: true
are filtered out of the insights
target.public Boolean getFilterPartialResults()
If true, TranscriptEvents
with IsPartial: true
are filtered out of the insights target.
TranscriptEvents
with IsPartial: true
are filtered out of the insights
target.public AmazonTranscribeProcessorConfiguration withFilterPartialResults(Boolean filterPartialResults)
If true, TranscriptEvents
with IsPartial: true
are filtered out of the insights target.
filterPartialResults
- If true, TranscriptEvents
with IsPartial: true
are filtered out of the insights
target.public Boolean isFilterPartialResults()
If true, TranscriptEvents
with IsPartial: true
are filtered out of the insights target.
TranscriptEvents
with IsPartial: true
are filtered out of the insights
target.public void setIdentifyLanguage(Boolean identifyLanguage)
Turns language identification on or off.
identifyLanguage
- Turns language identification on or off.public Boolean getIdentifyLanguage()
Turns language identification on or off.
public AmazonTranscribeProcessorConfiguration withIdentifyLanguage(Boolean identifyLanguage)
Turns language identification on or off.
identifyLanguage
- Turns language identification on or off.public Boolean isIdentifyLanguage()
Turns language identification on or off.
public void setLanguageOptions(String languageOptions)
The language options for the transcription, such as automatic language detection.
languageOptions
- The language options for the transcription, such as automatic language detection.public String getLanguageOptions()
The language options for the transcription, such as automatic language detection.
public AmazonTranscribeProcessorConfiguration withLanguageOptions(String languageOptions)
The language options for the transcription, such as automatic language detection.
languageOptions
- The language options for the transcription, such as automatic language detection.public void setPreferredLanguage(String preferredLanguage)
The preferred language for the transcription.
preferredLanguage
- The preferred language for the transcription.CallAnalyticsLanguageCode
public String getPreferredLanguage()
The preferred language for the transcription.
CallAnalyticsLanguageCode
public AmazonTranscribeProcessorConfiguration withPreferredLanguage(String preferredLanguage)
The preferred language for the transcription.
preferredLanguage
- The preferred language for the transcription.CallAnalyticsLanguageCode
public AmazonTranscribeProcessorConfiguration withPreferredLanguage(CallAnalyticsLanguageCode preferredLanguage)
The preferred language for the transcription.
preferredLanguage
- The preferred language for the transcription.CallAnalyticsLanguageCode
public void setVocabularyNames(String vocabularyNames)
The names of the custom vocabulary or vocabularies used during transcription.
vocabularyNames
- The names of the custom vocabulary or vocabularies used during transcription.public String getVocabularyNames()
The names of the custom vocabulary or vocabularies used during transcription.
public AmazonTranscribeProcessorConfiguration withVocabularyNames(String vocabularyNames)
The names of the custom vocabulary or vocabularies used during transcription.
vocabularyNames
- The names of the custom vocabulary or vocabularies used during transcription.public void setVocabularyFilterNames(String vocabularyFilterNames)
The names of the custom vocabulary filter or filters using during transcription.
vocabularyFilterNames
- The names of the custom vocabulary filter or filters using during transcription.public String getVocabularyFilterNames()
The names of the custom vocabulary filter or filters using during transcription.
public AmazonTranscribeProcessorConfiguration withVocabularyFilterNames(String vocabularyFilterNames)
The names of the custom vocabulary filter or filters using during transcription.
vocabularyFilterNames
- The names of the custom vocabulary filter or filters using during transcription.public String toString()
toString
in class Object
Object.toString()
public AmazonTranscribeProcessorConfiguration clone()
public void marshall(ProtocolMarshaller protocolMarshaller)
StructuredPojo
ProtocolMarshaller
.marshall
in interface StructuredPojo
protocolMarshaller
- Implementation of ProtocolMarshaller
used to marshall this object's data.