start_stream_transcription ¶

@contextmanager
def start_stream_transcription(
    self,
    media_sample_rate_hertz: "capo_transcribe_streaming.types.media_sample_rate_hertz.MediaSampleRateHertz",
    media_encoding: "capo_transcribe_streaming.types.media_encoding.MediaEncoding",
    audio_stream: "Iterator[capo_transcribe_streaming.types.audio_stream._AudioStream] | capo_transcribe_streaming.types.audio_stream._AudioStream",
    *,
    config_overrides: Optional[TranscribeStreamingClientConfig] = None,
    language_code: Optional[
        "capo_transcribe_streaming.types.language_code.LanguageCode"
    ] = None,
    vocabulary_name: Optional[
        "capo_transcribe_streaming.types.vocabulary_name.VocabularyName"
    ] = None,
    session_id: Optional[
        "capo_transcribe_streaming.types.session_id.SessionId"
    ] = None,
    vocabulary_filter_name: Optional[
        "capo_transcribe_streaming.types.vocabulary_filter_name.VocabularyFilterName"
    ] = None,
    vocabulary_filter_method: Optional[
        "capo_transcribe_streaming.types.vocabulary_filter_method.VocabularyFilterMethod"
    ] = None,
    show_speaker_label: Optional[
        "capo_transcribe_streaming.types.boolean.Boolean"
    ] = None,
    enable_channel_identification: Optional[
        "capo_transcribe_streaming.types.boolean.Boolean"
    ] = None,
    number_of_channels: Optional[
        "capo_transcribe_streaming.types.number_of_channels.NumberOfChannels"
    ] = None,
    enable_partial_results_stabilization: Optional[
        "capo_transcribe_streaming.types.boolean.Boolean"
    ] = None,
    partial_results_stability: Optional[
        "capo_transcribe_streaming.types.partial_results_stability.PartialResultsStability"
    ] = None,
    content_identification_type: Optional[
        "capo_transcribe_streaming.types.content_identification_type.ContentIdentificationType"
    ] = None,
    content_redaction_type: Optional[
        "capo_transcribe_streaming.types.content_redaction_type.ContentRedactionType"
    ] = None,
    pii_entity_types: Optional[
        "capo_transcribe_streaming.types.pii_entity_types.PiiEntityTypes"
    ] = None,
    language_model_name: Optional[
        "capo_transcribe_streaming.types.model_name.ModelName"
    ] = None,
    identify_language: Optional[
        "capo_transcribe_streaming.types.boolean.Boolean"
    ] = None,
    language_options: Optional[
        "capo_transcribe_streaming.types.language_options.LanguageOptions"
    ] = None,
    preferred_language: Optional[
        "capo_transcribe_streaming.types.language_code.LanguageCode"
    ] = None,
    identify_multiple_languages: Optional[
        "capo_transcribe_streaming.types.boolean.Boolean"
    ] = None,
    vocabulary_names: Optional[
        "capo_transcribe_streaming.types.vocabulary_names.VocabularyNames"
    ] = None,
    vocabulary_filter_names: Optional[
        "capo_transcribe_streaming.types.vocabulary_filter_names.VocabularyFilterNames"
    ] = None,
    session_resume_window: Optional[
        "capo_transcribe_streaming.types.session_resume_window.SessionResumeWindow"
    ] = None,
    transcript_format: Optional[
        "capo_transcribe_streaming.types.transcript_format.TranscriptFormat"
    ] = None,
) -> "Generator[capo_transcribe_streaming.types.start_stream_transcription_response.StartStreamTranscriptionResponse]":
    """<p>Starts a bidirectional HTTP/2 or WebSocket stream where audio is streamed to Amazon Transcribe and the transcription results are streamed to your application.</p> <p>The following parameters are required:</p> <ul> <li> <p> <code>language-code</code> or <code>identify-language</code> or <code>identify-multiple-language</code> </p> </li> <li> <p> <code>media-encoding</code> </p> </li> <li> <p> <code>sample-rate</code> </p> </li> </ul> <p>For more information on streaming with Amazon Transcribe, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/streaming.html">Transcribing streaming audio</a>.</p>

    Args:
        language_code: <p>Specify the language code that represents the language spoken in your audio.</p> <p>If you're unsure of the language spoken in your audio, consider using <code>IdentifyLanguage</code> to enable automatic language identification.</p> <p>For a list of languages supported with Amazon Transcribe streaming, refer to the <a href="https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html">Supported languages</a> table.</p>
        media_sample_rate_hertz: <p>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.</p>
        media_encoding: <p>Specify the encoding of your input audio. Supported formats are:</p> <ul> <li> <p>FLAC</p> </li> <li> <p>OPUS-encoded audio in an Ogg container</p> </li> <li> <p>PCM (only signed 16-bit little-endian audio formats, which does not include WAV)</p> </li> </ul> <p>For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/how-input.html#how-input-audio">Media formats</a>.</p>
        vocabulary_name: <p>Specify the name of the custom vocabulary that you want to use when processing your transcription. Note that vocabulary names are case sensitive.</p> <p>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.</p> <important> <p>This parameter is <b>not</b> intended for use with the <code>IdentifyLanguage</code> parameter. If you're including <code>IdentifyLanguage</code> in your request and want to use one or more custom vocabularies with your transcription, use the <code>VocabularyNames</code> parameter instead.</p> </important> <p>For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/custom-vocabulary.html">Custom vocabularies</a>.</p>
        session_id: <p>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.</p>
        audio_stream: <p>An encoded stream of audio blobs. Audio streams are encoded as either HTTP/2 or WebSocket data frames.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/streaming.html">Transcribing streaming audio</a>.</p>
        vocabulary_filter_name: <p>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.</p> <p>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.</p> <important> <p>This parameter is <b>not</b> intended for use with the <code>IdentifyLanguage</code> parameter. If you're including <code>IdentifyLanguage</code> in your request and want to use one or more vocabulary filters with your transcription, use the <code>VocabularyFilterNames</code> parameter instead.</p> </important> <p>For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/vocabulary-filtering.html">Using vocabulary filtering with unwanted words</a>.</p>
        vocabulary_filter_method: <p>Specify how you want your vocabulary filter applied to your transcript.</p> <p>To replace words with <code>***</code>, choose <code>mask</code>.</p> <p>To delete words, choose <code>remove</code>.</p> <p>To flag words without changing them, choose <code>tag</code>.</p>
        show_speaker_label: <p>Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/diarization.html">Partitioning speakers (diarization)</a>.</p>
        enable_channel_identification: <p>Enables channel identification in multi-channel audio.</p> <p>Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript.</p> <p>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.</p> <p>If you include <code>EnableChannelIdentification</code> in your request, you must also include <code>NumberOfChannels</code>.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/channel-id.html">Transcribing multi-channel audio</a>.</p>
        number_of_channels: <p>Specify the number of channels in your audio stream. This value must be <code>2</code>, as only two channels are supported. If your audio doesn't contain multiple channels, do not include this parameter in your request.</p> <p>If you include <code>NumberOfChannels</code> in your request, you must also include <code>EnableChannelIdentification</code>.</p>
        enable_partial_results_stabilization: <p>Enables partial result stabilization for your transcription. Partial result stabilization can reduce latency in your output, but may impact accuracy. For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/streaming.html#streaming-partial-result-stabilization">Partial-result stabilization</a>.</p>
        partial_results_stability: <p>Specify the level of stability to use when you enable partial results stabilization (<code>EnablePartialResultsStabilization</code>).</p> <p>Low stability provides the highest accuracy. High stability transcribes faster, but with slightly lower accuracy.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/streaming.html#streaming-partial-result-stabilization">Partial-result stabilization</a>.</p>
        content_identification_type: <p>Labels all personally identifiable information (PII) identified in your transcript.</p> <p>Content identification is performed at the segment level; PII specified in <code>PiiEntityTypes</code> is flagged upon complete transcription of an audio segment. If you don't include <code>PiiEntityTypes</code> in your request, all PII is identified.</p> <p>You can’t set <code>ContentIdentificationType</code> and <code>ContentRedactionType</code> in the same request. If you set both, your request returns a <code>BadRequestException</code>.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/pii-redaction.html">Redacting or identifying personally identifiable information</a>.</p>
        content_redaction_type: <p>Redacts all personally identifiable information (PII) identified in your transcript.</p> <p>Content redaction is performed at the segment level; PII specified in <code>PiiEntityTypes</code> is redacted upon complete transcription of an audio segment. If you don't include <code>PiiEntityTypes</code> in your request, all PII is redacted.</p> <p>You can’t set <code>ContentRedactionType</code> and <code>ContentIdentificationType</code> in the same request. If you set both, your request returns a <code>BadRequestException</code>.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/pii-redaction.html">Redacting or identifying personally identifiable information</a>.</p>
        pii_entity_types: <p>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 <code>ALL</code>.</p> <p>Values must be comma-separated and can include: <code>ADDRESS</code>, <code>BANK_ACCOUNT_NUMBER</code>, <code>BANK_ROUTING</code>, <code>CREDIT_DEBIT_CVV</code>, <code>CREDIT_DEBIT_EXPIRY</code>, <code>CREDIT_DEBIT_NUMBER</code>, <code>EMAIL</code>, <code>NAME</code>, <code>PHONE</code>, <code>PIN</code>, <code>SSN</code>, <code>AGE</code>, <code>DATE_TIME</code>, <code>LICENSE_PLATE</code>, <code>PASSPORT_NUMBER</code>, <code>PASSWORD</code>, <code>USERNAME</code>, <code>VEHICLE_IDENTIFICATION_NUMBER</code>, or <code>ALL</code>.</p> <p>Note that if you include <code>PiiEntityTypes</code> in your request, you must also include <code>ContentIdentificationType</code> or <code>ContentRedactionType</code>.</p> <p>If you include <code>ContentRedactionType</code> or <code>ContentIdentificationType</code> in your request, but do not include <code>PiiEntityTypes</code>, all PII is redacted or identified.</p>
        language_model_name: <p>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.</p> <p>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.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/custom-language-models.html">Custom language models</a>.</p>
        identify_language: <p>Enables automatic language identification for your transcription.</p> <p>If you include <code>IdentifyLanguage</code>, you must include a list of language codes, using <code>LanguageOptions</code>, that you think may be present in your audio stream. </p> <p>You can also include a preferred language using <code>PreferredLanguage</code>. Adding a preferred language can help Amazon Transcribe identify the language faster than if you omit this parameter.</p> <p>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.</p> <p>Note that you must include either <code>LanguageCode</code> or <code>IdentifyLanguage</code> or <code>IdentifyMultipleLanguages</code> in your request. If you include more than one of these parameters, your transcription job fails.</p> <p>Streaming language identification can't be combined with custom language models or redaction.</p>
        language_options: <p>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.</p> <p>Including language options can improve the accuracy of language identification.</p> <p>If you include <code>LanguageOptions</code> in your request, you must also include <code>IdentifyLanguage</code> or <code>IdentifyMultipleLanguages</code>.</p> <p>For a list of languages supported with Amazon Transcribe streaming, refer to the <a href="https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html">Supported languages</a> table.</p> <important> <p>You can only include one language dialect per language per stream. For example, you cannot include <code>en-US</code> and <code>en-AU</code> in the same request.</p> </important>
        preferred_language: <p>Specify a preferred language from the subset of languages codes you specified in <code>LanguageOptions</code>.</p> <p>You can only use this parameter if you've included <code>IdentifyLanguage</code> and <code>LanguageOptions</code> in your request.</p>
        identify_multiple_languages: <p>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.</p> <p>If you include <code>IdentifyMultipleLanguages</code>, you must include a list of language codes, using <code>LanguageOptions</code>, that you think may be present in your stream.</p> <p>If you want to apply a custom vocabulary or a custom vocabulary filter to your automatic multiple language identification request, include <code>VocabularyNames</code> or <code>VocabularyFilterNames</code>.</p> <p>Note that you must include one of <code>LanguageCode</code>, <code>IdentifyLanguage</code>, or <code>IdentifyMultipleLanguages</code> in your request. If you include more than one of these parameters, your transcription job fails.</p>
        vocabulary_names: <p>Specify the names of the custom vocabularies that you want to use when processing your transcription. Note that vocabulary names are case sensitive.</p> <p>If none of the languages of the specified custom vocabularies match the language identified in your media, your job fails.</p> <important> <p>This parameter is only intended for use <b>with</b> the <code>IdentifyLanguage</code> parameter. If you're <b>not</b> including <code>IdentifyLanguage</code> in your request and want to use a custom vocabulary with your transcription, use the <code>VocabularyName</code> parameter instead.</p> </important> <p>For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/custom-vocabulary.html">Custom vocabularies</a>.</p>
        vocabulary_filter_names: <p>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.</p> <p>If none of the languages of the specified custom vocabulary filters match the language identified in your media, your job fails.</p> <important> <p>This parameter is only intended for use <b>with</b> the <code>IdentifyLanguage</code> parameter. If you're <b>not</b> including <code>IdentifyLanguage</code> in your request and want to use a custom vocabulary filter with your transcription, use the <code>VocabularyFilterName</code> parameter instead.</p> </important> <p>For more information, see <a href="https://docs.aws.amazon.com/transcribe/latest/dg/vocabulary-filtering.html">Using vocabulary filtering with unwanted words</a>.</p>
        session_resume_window: <p>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).</p> <p> For example, if your stream starts at 1 PM and you specify a <code>SessionResumeWindow</code> of 30 minutes, you can reconnect to the session as many times as you want until 1:30 PM. </p>
        transcript_format: <p>Specify how numbers, dates, and other alphanumeric entities are rendered in your transcription results.</p> <ul> <li> <p> <code>WRITTEN</code> renders these entities in their standard written form (for example, <code>$50</code>, <code>10:30 AM</code>, and <code>101</code>).</p> </li> <li> <p> <code>SPOKEN</code> renders these entities as words, exactly as they were spoken (for example, <code>fifty dollars</code>, <code>ten thirty a m</code>, and <code>one oh one</code>).</p> </li> </ul> <p>If you don't specify a value, Amazon Transcribe uses <code>WRITTEN</code> by default.</p>

    Raises:
        capo_transcribe_streaming.errors.bad_request_exception.BadRequestException: <p>One or more arguments to the <code>StartStreamTranscription</code>, <code>StartMedicalStreamTranscription</code>, or <code>StartCallAnalyticsStreamTranscription</code> operation was not valid. For example, <code>MediaEncoding</code> or <code>LanguageCode</code> used unsupported values. Check the specified parameters and try your request again.</p>
        capo_transcribe_streaming.errors.conflict_exception.ConflictException: <p>A new stream started with the same session ID. The current stream has been terminated.</p>
        capo_transcribe_streaming.errors.internal_failure_exception.InternalFailureException: <p>A problem occurred while processing the audio. Amazon Transcribe terminated processing.</p>
        capo_transcribe_streaming.errors.limit_exceeded_exception.LimitExceededException: <p>Your client has exceeded one of the Amazon Transcribe limits, typically the concurrent stream service quota. This error can also occur if a stream exceeds the maximum session duration. In rare cases, this error can also occur if you increase your number of concurrent streams too quickly. Reduce your number of concurrent streams and try your request again using an exponential backoff strategy.</p>
        capo_transcribe_streaming.errors.service_unavailable_exception.ServiceUnavailableException: <p>The service is currently unavailable. Try your request later.</p>
        capo_transcribe_streaming.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_transcribe_streaming.types.start_stream_transcription_request.StartStreamTranscriptionRequest]",
    ) -> OperationResponse[
        "capo_transcribe_streaming.types.start_stream_transcription_response.StartStreamTranscriptionResponse"
    ]:
        import capo_transcribe_streaming._operations.transcribe.start_stream_transcription

        output, http_response = (
            capo_transcribe_streaming._operations.transcribe.start_stream_transcription.start_stream_transcription(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_input(
        input_: "capo_transcribe_streaming.types.start_stream_transcription_request.StartStreamTranscriptionRequest",
    ) -> dict[str, Any]:
        import capo_transcribe_streaming.types.start_stream_transcription_request

        return capo_transcribe_streaming.types.start_stream_transcription_request.redact_sensitive(
            input_
        )

    def _redact_output(
        output: "capo_transcribe_streaming.types.start_stream_transcription_response.StartStreamTranscriptionResponse",
    ) -> dict[str, Any]:
        import capo_transcribe_streaming.types.start_stream_transcription_response

        return capo_transcribe_streaming.types.start_stream_transcription_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging(
            "StartStreamTranscription",
            redact_input=_redact_input,
            redact_output=_redact_output,
        ),
    )
    input_: capo_transcribe_streaming.types.start_stream_transcription_request.StartStreamTranscriptionRequest = {
        "media_sample_rate_hertz": media_sample_rate_hertz,
        "media_encoding": media_encoding,
        "audio_stream": ensure_sync_iterator(audio_stream),
    }
    if language_code is not None:
        input_["language_code"] = language_code
    if vocabulary_name is not None:
        input_["vocabulary_name"] = vocabulary_name
    if session_id is not None:
        input_["session_id"] = session_id
    if vocabulary_filter_name is not None:
        input_["vocabulary_filter_name"] = vocabulary_filter_name
    if vocabulary_filter_method is not None:
        input_["vocabulary_filter_method"] = vocabulary_filter_method
    if show_speaker_label is not None:
        input_["show_speaker_label"] = show_speaker_label
    if enable_channel_identification is not None:
        input_["enable_channel_identification"] = enable_channel_identification
    if number_of_channels is not None:
        input_["number_of_channels"] = number_of_channels
    if enable_partial_results_stabilization is not None:
        input_["enable_partial_results_stabilization"] = (
            enable_partial_results_stabilization
        )
    if partial_results_stability is not None:
        input_["partial_results_stability"] = partial_results_stability
    if content_identification_type is not None:
        input_["content_identification_type"] = content_identification_type
    if content_redaction_type is not None:
        input_["content_redaction_type"] = content_redaction_type
    if pii_entity_types is not None:
        input_["pii_entity_types"] = pii_entity_types
    if language_model_name is not None:
        input_["language_model_name"] = language_model_name
    if identify_language is not None:
        input_["identify_language"] = identify_language
    if language_options is not None:
        input_["language_options"] = language_options
    if preferred_language is not None:
        input_["preferred_language"] = preferred_language
    if identify_multiple_languages is not None:
        input_["identify_multiple_languages"] = identify_multiple_languages
    if vocabulary_names is not None:
        input_["vocabulary_names"] = vocabulary_names
    if vocabulary_filter_names is not None:
        input_["vocabulary_filter_names"] = vocabulary_filter_names
    if session_resume_window is not None:
        input_["session_resume_window"] = session_resume_window
    if transcript_format is not None:
        input_["transcript_format"] = transcript_format

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    try:
        yield response.output
    finally:
        response.response.close()