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.
      "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`.
      "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.
      "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.
      "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.
      "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.
      "speechContexts": [ # *Optional* array of SpeechContext.
          # A means to provide context to assist the speech recognition. For more
          # information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
        { # Provides "hints" to the speech recognizer to favor specific words and phrases
            # in the results.
          "phrases": [ # *Optional* A list of strings containing words and phrases "hints" so that
              # the speech recognition is more likely to recognize them. This can be used
              # to improve the accuracy for specific words and phrases, for example, if
              # specific commands are typically spoken by the user. This can also be used
              # to add additional words to the vocabulary of the recognizer. See
              # [usage limits](/speech-to-text/quotas#content).
              #
              # List items can also be set to classes for groups of words that represent
              # common concepts that occur in natural language. For example, rather than
              # providing phrase hints for every month of the year, using the $MONTH class
              # improves the likelihood of correctly transcribing audio that includes
              # months.
            "A String",
          ],
        },
      ],
      "metadata": { # Description of audio data to be recognized. # *Optional* Metadata regarding this request.
        "recordingDeviceType": "A String", # The type of device the speech was recorded with.
        "originalMediaType": "A String", # The original media the speech was recorded on.
        "microphoneDistance": "A String", # The audio type that most closely describes the audio being recognized.
        "obfuscatedId": "A String", # Obfuscated (privacy-protected) ID of the user, to identify number of
            # unique users using the service.
        "originalMimeType": "A String", # Mime type of the original audio file.  For example `audio/m4a`,
            # `audio/x-alaw-basic`, `audio/mp3`, `audio/3gpp`.
            # A list of possible audio mime types is maintained at
            # http://www.iana.org/assignments/media-types/media-types.xhtml#audio
        "industryNaicsCodeOfAudio": 42, # The industry vertical to which this speech recognition request most
            # closely applies. This is most indicative of the topics contained
            # in the audio.  Use the 6-digit NAICS code to identify the industry
            # vertical - see https://www.naics.com/search/.
        "audioTopic": "A String", # Description of the content. Eg. "Recordings of federal supreme court
            # hearings from 2012".
        "recordingDeviceName": "A String", # The device used to make the recording.  Examples 'Nexus 5X' or
            # 'Polycom SoundStation IP 6000' or 'POTS' or 'VoIP' or
            # 'Cardioid Microphone'.
        "interactionType": "A String", # The use case most closely describing the audio content to be recognized.
      },
    },
  }

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # This resource represents a long-running operation that is the result of a
      # network API call.
    "error": { # The `Status` type defines a logical error model that is suitable for # The error result of the operation in case of failure or cancellation.
        # different programming environments, including REST APIs and RPC APIs. It is
        # used by [gRPC](https://github.com/grpc). Each `Status` message contains
        # three pieces of data: error code, error message, and error details.
        #
        # You can find out more about this error model and how to work with it in the
        # [API Design Guide](https://cloud.google.com/apis/design/errors).
      "message": "A String", # A developer-facing error message, which should be in English. Any
          # user-facing error message should be localized and sent in the
          # google.rpc.Status.details field, or localized by the client.
      "code": 42, # The status code, which should be an enum value of google.rpc.Code.
      "details": [ # A list of messages that carry the error details.  There is a common set of
          # message types for APIs to use.
        {
          "a_key": "", # Properties of the object. Contains field @type with type URL.
        },
      ],
    },
    "done": True or False, # If the value is `false`, it means the operation is still in progress.
        # If `true`, the operation is completed, and either `error` or `response` is
        # available.
    "response": { # The normal response of the operation in case of success.  If the original
        # method returns no data on success, such as `Delete`, the response is
        # `google.protobuf.Empty`.  If the original method is standard
        # `Get`/`Create`/`Update`, the response should be the resource.  For other
        # methods, the response should have the type `XxxResponse`, where `Xxx`
        # is the original method name.  For example, if the original method name
        # is `TakeSnapshot()`, the inferred response type is
        # `TakeSnapshotResponse`.
      "a_key": "", # Properties of the object. Contains field @type with type URL.
    },
    "name": "A String", # The server-assigned name, which is only unique within the same service that
        # originally returns it. If you use the default HTTP mapping, the
        # `name` should be a resource name ending with `operations/{unique_id}`.
    "metadata": { # Service-specific metadata associated with the operation.  It typically
        # contains progress information and common metadata such as create time.
        # Some services might not provide such metadata.  Any method that returns a
        # long-running operation should document the metadata type, if any.
      "a_key": "", # Properties of the object. Contains field @type with type URL.
    },
  }

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.
      "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`.
      "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.
      "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.
      "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.
      "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.
      "speechContexts": [ # *Optional* array of SpeechContext.
          # A means to provide context to assist the speech recognition. For more
          # information, see [Phrase Hints](/speech-to-text/docs/basics#phrase-hints).
        { # Provides "hints" to the speech recognizer to favor specific words and phrases
            # in the results.
          "phrases": [ # *Optional* A list of strings containing words and phrases "hints" so that
              # the speech recognition is more likely to recognize them. This can be used
              # to improve the accuracy for specific words and phrases, for example, if
              # specific commands are typically spoken by the user. This can also be used
              # to add additional words to the vocabulary of the recognizer. See
              # [usage limits](/speech-to-text/quotas#content).
              #
              # List items can also be set to classes for groups of words that represent
              # common concepts that occur in natural language. For example, rather than
              # providing phrase hints for every month of the year, using the $MONTH class
              # improves the likelihood of correctly transcribing audio that includes
              # months.
            "A String",
          ],
        },
      ],
      "metadata": { # Description of audio data to be recognized. # *Optional* Metadata regarding this request.
        "recordingDeviceType": "A String", # The type of device the speech was recorded with.
        "originalMediaType": "A String", # The original media the speech was recorded on.
        "microphoneDistance": "A String", # The audio type that most closely describes the audio being recognized.
        "obfuscatedId": "A String", # Obfuscated (privacy-protected) ID of the user, to identify number of
            # unique users using the service.
        "originalMimeType": "A String", # Mime type of the original audio file.  For example `audio/m4a`,
            # `audio/x-alaw-basic`, `audio/mp3`, `audio/3gpp`.
            # A list of possible audio mime types is maintained at
            # http://www.iana.org/assignments/media-types/media-types.xhtml#audio
        "industryNaicsCodeOfAudio": 42, # The industry vertical to which this speech recognition request most
            # closely applies. This is most indicative of the topics contained
            # in the audio.  Use the 6-digit NAICS code to identify the industry
            # vertical - see https://www.naics.com/search/.
        "audioTopic": "A String", # Description of the content. Eg. "Recordings of federal supreme court
            # hearings from 2012".
        "recordingDeviceName": "A String", # The device used to make the recording.  Examples 'Nexus 5X' or
            # 'Polycom SoundStation IP 6000' or 'POTS' or 'VoIP' or
            # 'Cardioid Microphone'.
        "interactionType": "A String", # The use case most closely describing the audio content to be recognized.
      },
    },
  }

  x__xgafv: string, V1 error format.
    Allowed values
      1 - v1 error format
      2 - v2 error format

Returns:
  An object of the form:

    { # The only message returned to the client by the `Recognize` method. It
      # contains the result as zero or more sequential `SpeechRecognitionResult`
      # messages.
    "results": [ # Output only. Sequential list of transcription results corresponding to
        # sequential portions of audio.
      { # A speech recognition result corresponding to a portion of the audio.
        "channelTag": 42, # For multi-channel audio, this is the channel number corresponding to the
            # recognized result for the audio from that channel.
            # For audio_channel_count = N, its output values can range from '1' to 'N'.
        "alternatives": [ # Output only. May contain one or more recognition hypotheses (up to the
            # maximum specified in `max_alternatives`).
            # These alternatives are ordered in terms of accuracy, with the top (first)
            # alternative being the most probable, as ranked by the recognizer.
          { # Alternative hypotheses (a.k.a. n-best list).
            "confidence": 3.14, # Output only. The confidence estimate between 0.0 and 1.0. A higher number
                # indicates an estimated greater likelihood that the recognized words are
                # correct. This field is set only for the top alternative of a non-streaming
                # result or, of a streaming result where `is_final=true`.
                # This field is not guaranteed to be accurate and users should not rely on it
                # to be always provided.
                # The default of 0.0 is a sentinel value indicating `confidence` was not set.
            "transcript": "A String", # Output only. Transcript text representing the words that the user spoke.
            "words": [ # Output only. A list of word-specific information for each recognized word.
                # Note: When `enable_speaker_diarization` is true, you will see all the words
                # from the beginning of the audio.
              { # Word-specific information for recognized words.
                "endTime": "A String", # Output only. Time offset relative to the beginning of the audio,
                    # and corresponding to the end of the spoken word.
                    # This field is only set if `enable_word_time_offsets=true` and only
                    # in the top hypothesis.
                    # This is an experimental feature and the accuracy of the time offset can
                    # vary.
                "word": "A String", # Output only. The word corresponding to this set of information.
                "startTime": "A String", # Output only. Time offset relative to the beginning of the audio,
                    # and corresponding to the start of the spoken word.
                    # This field is only set if `enable_word_time_offsets=true` and only
                    # in the top hypothesis.
                    # This is an experimental feature and the accuracy of the time offset can
                    # vary.
              },
            ],
          },
        ],
      },
    ],
  }

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.

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.

Cloud Speech-to-Text API . speech

Instance Methods

Method Details