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Transcribe Streaming  >  Operations  >  start_stream_transcription

start_stream_transcription

Operation

start_stream_transcription async

start_stream_transcription(input: StartStreamTranscriptionInput, plugins: list[Plugin] | None = None) -> DuplexEventStream[AudioStream, TranscriptResultStream, StartStreamTranscriptionOutput]

Starts a bidirectional HTTP/2 or WebSocket stream where audio is streamed to Amazon Transcribe and the transcription results are streamed to your application.

The following parameters are required:

  • language-code or identify-language or identify-multiple-language

  • media-encoding

  • sample-rate

For more information on streaming with Amazon Transcribe, see Transcribing streaming audio.

Parameters:

Name Type Description Default
input StartStreamTranscriptionInput

An instance of StartStreamTranscriptionInput.

required
plugins list[Plugin] | None

A list of callables that modify the configuration dynamically. Changes made by these plugins only apply for the duration of the operation execution and will not affect any other operation invocations.

None

Returns:

Type Description
DuplexEventStream[AudioStream, TranscriptResultStream, StartStreamTranscriptionOutput]

A DuplexEventStream for bidirectional streaming.

Input

StartStreamTranscriptionInput dataclass

Dataclass for StartStreamTranscriptionInput structure.

Attributes

content_identification_type class-attribute instance-attribute
content_identification_type: ContentIdentificationType | None = None

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. If you don't include PiiEntityTypes in your request, all PII is identified.

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.

content_redaction_type class-attribute instance-attribute
content_redaction_type: ContentRedactionType | None = None

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. If you don't include PiiEntityTypes in your request, all PII is redacted.

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.

enable_channel_identification class-attribute instance-attribute
enable_channel_identification: bool = False

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.

If you include EnableChannelIdentification in your request, you must also include NumberOfChannels.

For more information, see Transcribing multi-channel audio.

enable_partial_results_stabilization class-attribute instance-attribute
enable_partial_results_stabilization: bool = False

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.

identify_language class-attribute instance-attribute
identify_language: bool = False

Enables automatic language identification for your transcription.

If you include IdentifyLanguage, you must include a list of language codes, using LanguageOptions, that you think may be present in your audio stream.

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 or IdentifyMultipleLanguages in your request. If you include more than one of these parameters, your transcription job fails.

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

identify_multiple_languages class-attribute instance-attribute
identify_multiple_languages: bool = False

Enables automatic multi-language identification in your transcription job request. Use this parameter if your stream contains more than one language. If your stream contains only one language, use IdentifyLanguage instead.

If you include IdentifyMultipleLanguages, you must include a list of language codes, using LanguageOptions, that you think may be present in your stream.

If you want to apply a custom vocabulary or a custom vocabulary filter to your automatic multiple language identification request, include VocabularyNames or VocabularyFilterNames.

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.

language_code class-attribute instance-attribute
language_code: LanguageCode | None = None

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.

language_model_name class-attribute instance-attribute
language_model_name: str | None = None

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.

language_options class-attribute instance-attribute
language_options: str | None = None

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.

Including language options can improve the accuracy of language identification.

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

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

Warning

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.

media_encoding class-attribute instance-attribute
media_encoding: MediaEncoding | None = None

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.

media_sample_rate_hertz class-attribute instance-attribute
media_sample_rate_hertz: int | None = None

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.

number_of_channels class-attribute instance-attribute
number_of_channels: int | None = None

Specify the number of channels in your audio stream. This value must be 2, as only two channels are supported. If your audio doesn't contain multiple channels, do not include this parameter in your request.

If you include NumberOfChannels in your request, you must also include EnableChannelIdentification.

partial_results_stability class-attribute instance-attribute
partial_results_stability: PartialResultsStability | None = None

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.

pii_entity_types class-attribute instance-attribute
pii_entity_types: str | None = None

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.

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, AGE, DATE_TIME, LICENSE_PLATE, PASSPORT_NUMBER, PASSWORD, USERNAME, VEHICLE_IDENTIFICATION_NUMBER, or ALL.

Note that if you include PiiEntityTypes in your request, you must also include ContentIdentificationType or ContentRedactionType.

If you include ContentRedactionType or ContentIdentificationType in your request, but do not include PiiEntityTypes, all PII is redacted or identified.

preferred_language class-attribute instance-attribute
preferred_language: LanguageCode | None = None

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.

session_id class-attribute instance-attribute
session_id: str | None = None

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.

session_resume_window class-attribute instance-attribute
session_resume_window: int | None = None

Specify the time window, in minutes, during which your transcription session can be resumed, measured from the stream start time. This optional parameter accepts integer values from 1 to 300 (5 hours).

For example, if your stream starts at 1 PM and you specify a SessionResumeWindow of 30 minutes, you can reconnect to the session as many times as you want until 1:30 PM.

show_speaker_label class-attribute instance-attribute
show_speaker_label: bool = False

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).

transcript_format class-attribute instance-attribute
transcript_format: TranscriptFormat | None = None

Specify how numbers, dates, and other alphanumeric entities are rendered in your transcription results.

  • WRITTEN renders these entities in their standard written form (for example, $50, 10:30 AM, and 101).

  • SPOKEN renders these entities as words, exactly as they were spoken (for example, fifty dollars, ten thirty a m, and one oh one).

If you don't specify a value, Amazon Transcribe uses WRITTEN by default.

vocabulary_filter_method class-attribute instance-attribute
vocabulary_filter_method: VocabularyFilterMethod | None = None

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.

vocabulary_filter_name class-attribute instance-attribute
vocabulary_filter_name: str | None = None

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.

Warning

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.

vocabulary_filter_names class-attribute instance-attribute
vocabulary_filter_names: str | None = None

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.

Warning

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.

vocabulary_name class-attribute instance-attribute
vocabulary_name: str | None = None

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.

Warning

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.

vocabulary_names class-attribute instance-attribute
vocabulary_names: str | None = None

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.

Warning

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.

Output

This operation returns a DuplexEventStream for bidirectional streaming.

Event Stream Structure

Input Event Type

AudioStream

Output Event Type

TranscriptResultStream

Initial Response Structure

StartStreamTranscriptionOutput dataclass

Dataclass for StartStreamTranscriptionOutput structure.

Attributes
content_identification_type class-attribute instance-attribute
content_identification_type: ContentIdentificationType | None = None

Shows whether content identification was enabled for your transcription.

content_redaction_type class-attribute instance-attribute
content_redaction_type: ContentRedactionType | None = None

Shows whether content redaction was enabled for your transcription.

enable_channel_identification class-attribute instance-attribute
enable_channel_identification: bool = False

Shows whether channel identification was enabled for your transcription.

enable_partial_results_stabilization class-attribute instance-attribute
enable_partial_results_stabilization: bool = False

Shows whether partial results stabilization was enabled for your transcription.

identify_language class-attribute instance-attribute
identify_language: bool = False

Shows whether automatic language identification was enabled for your transcription.

identify_multiple_languages class-attribute instance-attribute
identify_multiple_languages: bool = False

Shows whether automatic multi-language identification was enabled for your transcription.

language_code class-attribute instance-attribute
language_code: LanguageCode | None = None

Provides the language code that you specified in your request.

language_model_name class-attribute instance-attribute
language_model_name: str | None = None

Provides the name of the custom language model that you specified in your request.

language_options class-attribute instance-attribute
language_options: str | None = None

Provides the language codes that you specified in your request.

media_encoding class-attribute instance-attribute
media_encoding: MediaEncoding | None = None

Provides the media encoding you specified in your request.

media_sample_rate_hertz class-attribute instance-attribute
media_sample_rate_hertz: int | None = None

Provides the sample rate that you specified in your request.

number_of_channels class-attribute instance-attribute
number_of_channels: int | None = None

Provides the number of channels that you specified in your request.

partial_results_stability class-attribute instance-attribute
partial_results_stability: PartialResultsStability | None = None

Provides the stabilization level used for your transcription.

pii_entity_types class-attribute instance-attribute
pii_entity_types: str | None = None

Lists the PII entity types you specified in your request.

preferred_language class-attribute instance-attribute
preferred_language: LanguageCode | None = None

Provides the preferred language that you specified in your request.

request_id class-attribute instance-attribute
request_id: str | None = None

Provides the identifier for your streaming request.

session_id class-attribute instance-attribute
session_id: str | None = None

Provides the identifier for your transcription session.

session_resume_window class-attribute instance-attribute
session_resume_window: int | None = None

Provides the session resume window, in minutes, that you specified in your request.

show_speaker_label class-attribute instance-attribute
show_speaker_label: bool = False

Shows whether speaker partitioning was enabled for your transcription.

transcript_format class-attribute instance-attribute
transcript_format: TranscriptFormat | None = None

Provides the transcript format that you specified in your request.

vocabulary_filter_method class-attribute instance-attribute
vocabulary_filter_method: VocabularyFilterMethod | None = None

Provides the vocabulary filtering method used in your transcription.

vocabulary_filter_name class-attribute instance-attribute
vocabulary_filter_name: str | None = None

Provides the name of the custom vocabulary filter that you specified in your request.

vocabulary_filter_names class-attribute instance-attribute
vocabulary_filter_names: str | None = None

Provides the names of the custom vocabulary filters that you specified in your request.

vocabulary_name class-attribute instance-attribute
vocabulary_name: str | None = None

Provides the name of the custom vocabulary that you specified in your request.

vocabulary_names class-attribute instance-attribute
vocabulary_names: str | None = None

Provides the names of the custom vocabularies that you specified in your request.