longrunningrecognize(body, x__xgafv=None)
Performs asynchronous speech recognition: receive results via the
  recognize(body, x__xgafv=None)
Performs synchronous speech recognition: receive results after all audio
longrunningrecognize(body, x__xgafv=None)
  Performs asynchronous speech recognition: receive results via the
google.longrunning.Operations interface. Returns either an
`Operation.error` or an `Operation.response` which contains
a `LongRunningRecognizeResponse` message.
For more information on asynchronous speech recognition, see the
[how-to](https://cloud.google.com/speech-to-text/docs/async-recognize).
Args:
  body: object, The request body. (required)
    The object takes the form of:
{ # The top-level message sent by the client for the `LongRunningRecognize`
      # method.
    "audio": { # Contains audio data in the encoding specified in the `RecognitionConfig`. # *Required* The audio data to be recognized.
        # Either `content` or `uri` must be supplied. Supplying both or neither
        # returns google.rpc.Code.INVALID_ARGUMENT. See
        # [content limits](/speech-to-text/quotas#content).
      "content": "A String", # The audio data bytes encoded as specified in
          # `RecognitionConfig`. Note: as with all bytes fields, proto buffers use a
          # pure binary representation, whereas JSON representations use base64.
      "uri": "A String", # URI that points to a file that contains audio data bytes as specified in
          # `RecognitionConfig`. The file must not be compressed (for example, gzip).
          # Currently, only Google Cloud Storage URIs are
          # supported, which must be specified in the following format:
          # `gs://bucket_name/object_name` (other URI formats return
          # google.rpc.Code.INVALID_ARGUMENT). For more information, see
          # [Request URIs](https://cloud.google.com/storage/docs/reference-uris).
    },
    "config": { # Provides information to the recognizer that specifies how to process the # *Required* Provides information to the recognizer that specifies how to
        # process the request.
        # request.
      "languageCode": "A String", # *Required* The language of the supplied audio as a
          # [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.
          # Example: "en-US".
          # See [Language Support](/speech-to-text/docs/languages)
          # for a list of the currently supported language codes.
      "audioChannelCount": 42, # *Optional* 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'.
      "encoding": "A String", # 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.
      "enableAutomaticPunctuation": True or False, # *Optional* 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.
          # Note: This is currently offered as an experimental service, complimentary
          # to all users. In the future this may be exclusively available as a
          # premium feature.
      "alternativeLanguageCodes": [ # *Optional* A list of up to 3 additional
          # [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
          # listing possible alternative languages of the supplied audio.
          # See [Language Support](/speech-to-text/docs/languages)
          # for a list of the currently supported language codes.
          # If alternative languages are listed, recognition result will contain
          # recognition in the most likely language detected including the main
          # language_code. The recognition result will include the language tag
          # of the language detected in the audio.
          # Note: This feature is only supported for Voice Command and Voice Search
          # use cases and performance may vary for other use cases (e.g., phone call
          # transcription).
        "A String",
      ],
      "enableSeparateRecognitionPerChannel": True or False, # 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.
      "enableWordTimeOffsets": True or False, # *Optional* 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`.
      "enableSpeakerDiarization": True or False, # *Optional* 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. This field will be DEPRECATED soon.
      "maxAlternatives": 42, # *Optional* 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.
      "profanityFilter": True or False, # *Optional* 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.
      "useEnhanced": True or False, # *Optional* 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:
          # 1. project is eligible for requesting enhanced models
          # 2. 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.
          #
          # Enhanced speech models require that you opt-in to data logging using
          # instructions in the
          # [documentation](/speech-to-text/docs/enable-data-logging). If you set
          # `use_enhanced` to true and you have not enabled audio logging, then you
          # will receive an error.
      "sampleRateHertz": 42, # 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.
      "diarizationSpeakerCount": 42, # *Optional*
          # If set, specifies the estimated number of speakers in the conversation.
          # If not set, defaults to '2'.
          # Ignored unless enable_speaker_diarization is set to true."
          # Note: Use diarization_config instead. This field will be DEPRECATED soon.
      "enableWordConfidence": True or False, # *Optional* 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`.
      "model": "A String", # *Optional* 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.
          # | Model# | Description# | 
| #command_and_search | Best for short queries such as voice commands or voice search.# | 
| #phone_call | Best for audio that originated from a phone call (typically # recorded at an 8khz sampling rate).# | 
| #video | Best for audio that originated from from video or includes multiple # speakers. Ideally the audio is recorded at a 16khz or greater # sampling rate. This is a premium model that costs more than the # standard rate.# | 
| #default | Best for audio that is not one of the specific audio models. # For example, long-form audio. Ideally the audio is high-fidelity, # recorded at a 16khz or greater sampling rate.# | 
recognize(body, x__xgafv=None)
  Performs synchronous speech recognition: receive results after all audio
has been sent and processed.
Args:
  body: object, The request body. (required)
    The object takes the form of:
{ # The top-level message sent by the client for the `Recognize` method.
    "audio": { # Contains audio data in the encoding specified in the `RecognitionConfig`. # *Required* The audio data to be recognized.
        # Either `content` or `uri` must be supplied. Supplying both or neither
        # returns google.rpc.Code.INVALID_ARGUMENT. See
        # [content limits](/speech-to-text/quotas#content).
      "content": "A String", # The audio data bytes encoded as specified in
          # `RecognitionConfig`. Note: as with all bytes fields, proto buffers use a
          # pure binary representation, whereas JSON representations use base64.
      "uri": "A String", # URI that points to a file that contains audio data bytes as specified in
          # `RecognitionConfig`. The file must not be compressed (for example, gzip).
          # Currently, only Google Cloud Storage URIs are
          # supported, which must be specified in the following format:
          # `gs://bucket_name/object_name` (other URI formats return
          # google.rpc.Code.INVALID_ARGUMENT). For more information, see
          # [Request URIs](https://cloud.google.com/storage/docs/reference-uris).
    },
    "config": { # Provides information to the recognizer that specifies how to process the # *Required* Provides information to the recognizer that specifies how to
        # process the request.
        # request.
      "languageCode": "A String", # *Required* The language of the supplied audio as a
          # [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tag.
          # Example: "en-US".
          # See [Language Support](/speech-to-text/docs/languages)
          # for a list of the currently supported language codes.
      "audioChannelCount": 42, # *Optional* 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'.
      "encoding": "A String", # 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.
      "enableAutomaticPunctuation": True or False, # *Optional* 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.
          # Note: This is currently offered as an experimental service, complimentary
          # to all users. In the future this may be exclusively available as a
          # premium feature.
      "alternativeLanguageCodes": [ # *Optional* A list of up to 3 additional
          # [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language tags,
          # listing possible alternative languages of the supplied audio.
          # See [Language Support](/speech-to-text/docs/languages)
          # for a list of the currently supported language codes.
          # If alternative languages are listed, recognition result will contain
          # recognition in the most likely language detected including the main
          # language_code. The recognition result will include the language tag
          # of the language detected in the audio.
          # Note: This feature is only supported for Voice Command and Voice Search
          # use cases and performance may vary for other use cases (e.g., phone call
          # transcription).
        "A String",
      ],
      "enableSeparateRecognitionPerChannel": True or False, # 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.
      "enableWordTimeOffsets": True or False, # *Optional* 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`.
      "enableSpeakerDiarization": True or False, # *Optional* 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. This field will be DEPRECATED soon.
      "maxAlternatives": 42, # *Optional* 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.
      "profanityFilter": True or False, # *Optional* 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.
      "useEnhanced": True or False, # *Optional* 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:
          # 1. project is eligible for requesting enhanced models
          # 2. 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.
          #
          # Enhanced speech models require that you opt-in to data logging using
          # instructions in the
          # [documentation](/speech-to-text/docs/enable-data-logging). If you set
          # `use_enhanced` to true and you have not enabled audio logging, then you
          # will receive an error.
      "sampleRateHertz": 42, # 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.
      "diarizationSpeakerCount": 42, # *Optional*
          # If set, specifies the estimated number of speakers in the conversation.
          # If not set, defaults to '2'.
          # Ignored unless enable_speaker_diarization is set to true."
          # Note: Use diarization_config instead. This field will be DEPRECATED soon.
      "enableWordConfidence": True or False, # *Optional* 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`.
      "model": "A String", # *Optional* 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.
          # | Model# | Description# | 
| #command_and_search | Best for short queries such as voice commands or voice search.# | 
| #phone_call | Best for audio that originated from a phone call (typically # recorded at an 8khz sampling rate).# | 
| #video | Best for audio that originated from from video or includes multiple # speakers. Ideally the audio is recorded at a 16khz or greater # sampling rate. This is a premium model that costs more than the # standard rate.# | 
| #default | Best for audio that is not one of the specific audio models. # For example, long-form audio. Ideally the audio is high-fidelity, # recorded at a 16khz or greater sampling rate.# |