RecognitionConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)
Provides information to the recognizer that specifies how to process the request.
Encoding of audio data sent in all ``RecognitionAudio`` messages. This field is optional for ``FLAC`` and ``WAV`` audio files and required for all other audio formats. For details, see AudioEncoding.
Sample rate in Hertz of the audio data sent in all ``RecognitionAudio`` messages. Valid values are: 8000-48000. 16000 is optimal. For best results, set the sampling rate of the audio source to 16000 Hz. If that's not possible, use the native sample rate of the audio source (instead of re-sampling). This field is optional for FLAC and WAV audio files, but is required for all other audio formats. For details, see AudioEncoding.
The number of channels in the input audio data. ONLY set this for MULTI-CHANNEL recognition. Valid values for LINEAR16 and FLAC are ``1``-``8``. Valid values for OGG_OPUS are '1'-'254'. Valid value for MULAW, AMR, AMR_WB and SPEEX_WITH_HEADER_BYTE is only ``1``. If ``0`` or omitted, defaults to one channel (mono). Note: We only recognize the first channel by default. To perform independent recognition on each channel set ``enable_separate_recognition_per_channel`` to 'true'.
This needs to be set to ``true`` explicitly and ``audio_channel_count`` > 1 to get each channel recognized separately. The recognition result will contain a ``channel_tag`` field to state which channel that result belongs to. If this is not true, we will only recognize the first channel. The request is billed cumulatively for all channels recognized: ``audio_channel_count`` multiplied by the length of the audio.
Required. The language of the supplied audio as a `BCP-47
A list of up to 3 additional `BCP-47
Maximum number of recognition hypotheses to be returned. Specifically, the maximum number of ``SpeechRecognitionAlternative`` messages within each ``SpeechRecognitionResult``. The server may return fewer than ``max_alternatives``. Valid values are ``0``-``30``. A value of ``0`` or ``1`` will return a maximum of one. If omitted, will return a maximum of one.
If set to ``true``, the server will attempt to filter out profanities, replacing all but the initial character in each filtered word with asterisks, e.g. "f***". If set to ``false`` or omitted, profanities won't be filtered out.
Speech adaptation configuration improves the accuracy of speech recognition. For more information, see the `speech adaptation
Use transcription normalization to automatically replace parts of the transcript with phrases of your choosing. For StreamingRecognize, this normalization only applies to stable partial transcripts (stability > 0.8) and final transcripts.
Array of SpeechContext. A means to provide context to assist the speech recognition. For more information, see `speech adaptation
If ``true``, the top result includes a list of words and the start and end time offsets (timestamps) for those words. If ``false``, no word-level time offset information is returned. The default is ``false``.
If ``true``, the top result includes a list of words and the confidence for those words. If ``false``, no word-level confidence information is returned. The default is ``false``.
If 'true', adds punctuation to recognition result hypotheses. This feature is only available in select languages. Setting this for requests in other languages has no effect at all. The default 'false' value does not add punctuation to result hypotheses.
The spoken punctuation behavior for the call If not set, uses default behavior based on model of choice e.g. command_and_search will enable spoken punctuation by default If 'true', replaces spoken punctuation with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?". See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
The spoken emoji behavior for the call If not set, uses default behavior based on model of choice If 'true', adds spoken emoji formatting for the request. This will replace spoken emojis with the corresponding Unicode symbols in the final transcript. If 'false', spoken emojis are not replaced.
If 'true', enables speaker detection for each recognized word in the top alternative of the recognition result using a speaker_tag provided in the WordInfo. Note: Use diarization_config instead.
If set, specifies the estimated number of speakers in the conversation. Defaults to '2'. Ignored unless enable_speaker_diarization is set to true. Note: Use diarization_config instead.
Config to enable speaker diarization and set additional parameters to make diarization better suited for your application. Note: When this is enabled, we send all the words from the beginning of the audio for the top alternative in every consecutive STREAMING responses. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time. For non-streaming requests, the diarization results will be provided only in the top alternative of the FINAL SpeechRecognitionResult.
Metadata regarding this request.
Which model to select for the given request. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then we auto-select a model based on the parameters in the RecognitionConfig. .. raw:: html
Set to true to use an enhanced model for speech recognition. If ``use_enhanced`` is set to true and the ``model`` field is not set, then an appropriate enhanced model is chosen if an enhanced model exists for the audio. If ``use_enhanced`` is true and an enhanced version of the specified model does not exist, then the speech is recognized using the standard version of the specified model.
Inheritancebuiltins.object > proto.message.Message > RecognitionConfig
The encoding of the audio data sent in the request.
All encodings support only 1 channel (mono) audio, unless the
enable_separate_recognition_per_channel fields are set.
For best results, the audio source should be captured and
transmitted using a lossless encoding (
The accuracy of the speech recognition can be reduced if lossy
codecs are used to capture or transmit audio, particularly if
background noise is present. Lossy codecs include
WAV audio file formats include a header that
describes the included audio content. You can request recognition
WAV files that contain either
encoded audio. If you send
WAV audio file format in
your request, you do not need to specify an
audio encoding format is determined from the file header. If you
AudioEncoding when you send send
audio, the encoding configuration must match the encoding described
in the audio header; otherwise the request returns an