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Interface StartStreamTranscriptionCommandInput

Hierarchy

Index

Properties

AudioStream

AudioStream: AsyncIterable<AudioStream> | undefined

An encoded stream of audio blobs. Audio streams are encoded as either HTTP/2 or WebSocket data frames.

For more information, see Transcribing streaming audio.

Optional ContentIdentificationType

ContentIdentificationType: ContentIdentificationType | string

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.

Optional ContentRedactionType

ContentRedactionType: ContentRedactionType | string

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.

Optional EnableChannelIdentification

EnableChannelIdentification: undefined | false | true

Enables channel identification in multi-channel audio.

Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.

If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript is not separated by channel.

For more information, see Transcribing multi-channel audio.

Optional EnablePartialResultsStabilization

EnablePartialResultsStabilization: undefined | false | true

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.

Optional IdentifyLanguage

IdentifyLanguage: undefined | false | true

Enables automatic language identification for your transcription.

If you include IdentifyLanguage, you can optionally include a list of language codes, using LanguageOptions, that you think may be present in your audio stream. Including language options can improve transcription accuracy.

You can also include a preferred language using PreferredLanguage. Adding a preferred language can help Amazon Transcribe identify the language faster than if you omit this parameter.

If you have multi-channel audio that contains different languages on each channel, and you've enabled channel identification, automatic language identification identifies the dominant language on each audio channel.

Note that you must include either LanguageCode or IdentifyLanguage in your request. If you include both parameters, your request fails.

Streaming language identification can't be combined with custom language models or redaction.

Optional LanguageCode

LanguageCode: LanguageCode | string

Specify 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 supported with Amazon Transcribe streaming, refer to the Supported languages table.

Optional LanguageModelName

LanguageModelName: undefined | string

Specify 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.

Optional LanguageOptions

LanguageOptions: undefined | string

Specify two or more language codes that represent the languages you think may be present in your media; including more than five is not recommended. If you're unsure what languages are present, do not include this parameter.

Including language options can improve the accuracy of language identification.

If you include LanguageOptions in your request, you must also include IdentifyLanguage.

For a list of languages supported with Amazon Transcribe streaming, refer to the Supported languages table.

You can only include one language dialect per language per stream. For example, you cannot include en-US and en-AU in the same request.

MediaEncoding

MediaEncoding: MediaEncoding | string | undefined

Specify the encoding of your input audio. Supported formats are:

  • FLAC

  • OPUS-encoded audio in an Ogg container

  • PCM (only signed 16-bit little-endian audio formats, which does not include WAV)

For more information, see Media formats.

MediaSampleRateHertz

MediaSampleRateHertz: number | undefined

The sample rate of the input audio (in hertz). Low-quality audio, such as telephone audio, is typically around 8,000 Hz. High-quality audio typically ranges from 16,000 Hz to 48,000 Hz. Note that the sample rate you specify must match that of your audio.

Optional NumberOfChannels

NumberOfChannels: undefined | number

Specify the number of channels in your audio stream. Up to two channels are supported.

Optional PartialResultsStability

PartialResultsStability: PartialResultsStability | string

Specify 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.

Optional PiiEntityTypes

PiiEntityTypes: undefined | string

Specify which types of personally identifiable information (PII) you want to redact in your transcript. You can include as many types as you'd like, or you can select ALL.

To include PiiEntityTypes in your request, you must also include either ContentIdentificationType or ContentRedactionType.

Values must be comma-separated and can include: BANK_ACCOUNT_NUMBER, BANK_ROUTING, CREDIT_DEBIT_NUMBER, CREDIT_DEBIT_CVV, CREDIT_DEBIT_EXPIRY, PIN, EMAIL, ADDRESS, NAME, PHONE, SSN, or ALL.

Optional PreferredLanguage

PreferredLanguage: LanguageCode | string

Specify a preferred language from the subset of languages codes you specified in LanguageOptions.

You can only use this parameter if you've included IdentifyLanguage and LanguageOptions in your request.

Optional SessionId

SessionId: undefined | string

Specify a name for your transcription session. If you don't include this parameter in your request, Amazon Transcribe generates an ID and returns it in the response.

You can use a session ID to retry a streaming session.

Optional ShowSpeakerLabel

ShowSpeakerLabel: undefined | false | true

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).

Optional VocabularyFilterMethod

VocabularyFilterMethod: VocabularyFilterMethod | string

Specify how you want your vocabulary filter applied to your transcript.

To replace words with ***, choose mask.

To delete words, choose remove.

To flag words without changing them, choose tag.

Optional VocabularyFilterName

VocabularyFilterName: undefined | string

Specify the name of the custom vocabulary filter that you want to use when processing your transcription. Note that vocabulary filter names are case sensitive.

If the language of the specified custom vocabulary filter doesn't match the language identified in your media, the vocabulary filter is not applied to your transcription.

This parameter is not intended for use with the IdentifyLanguage parameter. If you're including IdentifyLanguage in your request and want to use one or more vocabulary filters with your transcription, use the VocabularyFilterNames parameter instead.

For more information, see Using vocabulary filtering with unwanted words.

Optional VocabularyFilterNames

VocabularyFilterNames: undefined | string

Specify the names of the custom vocabulary filters that you want to use when processing your transcription. Note that vocabulary filter names are case sensitive.

If none of the languages of the specified custom vocabulary filters match the language identified in your media, your job fails.

This parameter is only intended for use with the IdentifyLanguage parameter. If you're not including IdentifyLanguage in your request and want to use a custom vocabulary filter with your transcription, use the VocabularyFilterName parameter instead.

For more information, see Using vocabulary filtering with unwanted words.

Optional VocabularyName

VocabularyName: undefined | string

Specify the name of the custom vocabulary that you want to use when processing your transcription. Note that vocabulary names are case sensitive.

If the language of the specified custom vocabulary doesn't match the language identified in your media, the custom vocabulary is not applied to your transcription.

This parameter is not intended for use with the IdentifyLanguage parameter. If you're including IdentifyLanguage in your request and want to use one or more custom vocabularies with your transcription, use the VocabularyNames parameter instead.

For more information, see Custom vocabularies.

Optional VocabularyNames

VocabularyNames: undefined | string

Specify the names of the custom vocabularies that you want to use when processing your transcription. Note that vocabulary names are case sensitive.

If none of the languages of the specified custom vocabularies match the language identified in your media, your job fails.

This parameter is only intended for use with the IdentifyLanguage parameter. If you're not including IdentifyLanguage in your request and want to use a custom vocabulary with your transcription, use the VocabularyName parameter instead.

For more information, see Custom vocabularies.