Class InputAudioConfig (1.22.0) 

InputAudioConfig(mapping=None, *, ignore_unknown_fields=False, **kwargs)

Instructs the speech recognizer on how to process the audio content.

Attributes

NameDescription
audio_encoding google.cloud.dialogflowcx_v3.types.AudioEncoding
Required. Audio encoding of the audio content to process.
sample_rate_hertz int
Sample rate (in Hertz) of the audio content sent in the query. Refer to `Cloud Speech API documentation
enable_word_info bool
Optional. If true, Dialogflow returns SpeechWordInfo in StreamingRecognitionResult with information about the recognized speech words, e.g. start and end time offsets. If false or unspecified, Speech doesn't return any word-level information.
phrase_hints MutableSequence[str]
Optional. A list of strings containing words and phrases that the speech recognizer should recognize with higher likelihood. See `the Cloud Speech documentation
model str
Optional. Which Speech 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 InputAudioConfig. If enhanced speech model is enabled for the agent and an enhanced version of the specified model for the language does not exist, then the speech is recognized using the standard version of the specified model. Refer to `Cloud Speech API documentation
model_variant google.cloud.dialogflowcx_v3.types.SpeechModelVariant
Optional. Which variant of the [Speech model][google.cloud.dialogflow.cx.v3.InputAudioConfig.model] to use.
single_utterance bool
Optional. If false (default), recognition does not cease until the client closes the stream. If true, the recognizer will detect a single spoken utterance in input audio. Recognition ceases when it detects the audio's voice has stopped or paused. In this case, once a detected intent is received, the client should close the stream and start a new request with a new stream as needed. Note: This setting is relevant only for streaming methods.