Reference documentation and code samples for the Dialogflow V2 API class Google::Cloud::Dialogflow::V2::InputAudioConfig.
Instructs the speech recognizer how to process the audio content.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#audio_encoding
def audio_encoding() -> ::Google::Cloud::Dialogflow::V2::AudioEncoding
- (::Google::Cloud::Dialogflow::V2::AudioEncoding) — Required. Audio encoding of the audio content to process.
#audio_encoding=
def audio_encoding=(value) -> ::Google::Cloud::Dialogflow::V2::AudioEncoding
- value (::Google::Cloud::Dialogflow::V2::AudioEncoding) — Required. Audio encoding of the audio content to process.
- (::Google::Cloud::Dialogflow::V2::AudioEncoding) — Required. Audio encoding of the audio content to process.
#disable_no_speech_recognized_event
def disable_no_speech_recognized_event() -> ::Boolean
-
(::Boolean) — Only used in Participants.AnalyzeContent and
Participants.StreamingAnalyzeContent.
If
false
and recognition doesn't return any result, triggerNO_SPEECH_RECOGNIZED
event to Dialogflow agent.
#disable_no_speech_recognized_event=
def disable_no_speech_recognized_event=(value) -> ::Boolean
-
value (::Boolean) — Only used in Participants.AnalyzeContent and
Participants.StreamingAnalyzeContent.
If
false
and recognition doesn't return any result, triggerNO_SPEECH_RECOGNIZED
event to Dialogflow agent.
-
(::Boolean) — Only used in Participants.AnalyzeContent and
Participants.StreamingAnalyzeContent.
If
false
and recognition doesn't return any result, triggerNO_SPEECH_RECOGNIZED
event to Dialogflow agent.
#enable_word_info
def enable_word_info() -> ::Boolean
-
(::Boolean) — 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.
#enable_word_info=
def enable_word_info=(value) -> ::Boolean
-
value (::Boolean) — 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.
-
(::Boolean) — 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.
#language_code
def language_code() -> ::String
- (::String) — Required. The language of the supplied audio. Dialogflow does not do translations. See Language Support for a list of the currently supported language codes. Note that queries in the same session do not necessarily need to specify the same language.
#language_code=
def language_code=(value) -> ::String
- value (::String) — Required. The language of the supplied audio. Dialogflow does not do translations. See Language Support for a list of the currently supported language codes. Note that queries in the same session do not necessarily need to specify the same language.
- (::String) — Required. The language of the supplied audio. Dialogflow does not do translations. See Language Support for a list of the currently supported language codes. Note that queries in the same session do not necessarily need to specify the same language.
#model
def model() -> ::String
- (::String) — 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 for more details.
#model=
def model=(value) -> ::String
- value (::String) — 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 for more details.
- (::String) — 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 for more details.
#model_variant
def model_variant() -> ::Google::Cloud::Dialogflow::V2::SpeechModelVariant
- (::Google::Cloud::Dialogflow::V2::SpeechModelVariant) — Which variant of the Speech model to use.
#model_variant=
def model_variant=(value) -> ::Google::Cloud::Dialogflow::V2::SpeechModelVariant
- value (::Google::Cloud::Dialogflow::V2::SpeechModelVariant) — Which variant of the Speech model to use.
- (::Google::Cloud::Dialogflow::V2::SpeechModelVariant) — Which variant of the Speech model to use.
#phrase_hints
def phrase_hints() -> ::Array<::String>
-
(::Array<::String>) — A list of strings containing words and phrases that the speech
recognizer should recognize with higher likelihood.
See the Cloud Speech documentation for more details.
This field is deprecated. Please use speech_contexts instead. If you specify both phrase_hints and speech_contexts, Dialogflow will treat the phrase_hints as a single additional SpeechContext.
#phrase_hints=
def phrase_hints=(value) -> ::Array<::String>
-
value (::Array<::String>) — A list of strings containing words and phrases that the speech
recognizer should recognize with higher likelihood.
See the Cloud Speech documentation for more details.
This field is deprecated. Please use speech_contexts instead. If you specify both phrase_hints and speech_contexts, Dialogflow will treat the phrase_hints as a single additional SpeechContext.
-
(::Array<::String>) — A list of strings containing words and phrases that the speech
recognizer should recognize with higher likelihood.
See the Cloud Speech documentation for more details.
This field is deprecated. Please use speech_contexts instead. If you specify both phrase_hints and speech_contexts, Dialogflow will treat the phrase_hints as a single additional SpeechContext.
#sample_rate_hertz
def sample_rate_hertz() -> ::Integer
- (::Integer) — Required. Sample rate (in Hertz) of the audio content sent in the query. Refer to Cloud Speech API documentation for more details.
#sample_rate_hertz=
def sample_rate_hertz=(value) -> ::Integer
- value (::Integer) — Required. Sample rate (in Hertz) of the audio content sent in the query. Refer to Cloud Speech API documentation for more details.
- (::Integer) — Required. Sample rate (in Hertz) of the audio content sent in the query. Refer to Cloud Speech API documentation for more details.
#single_utterance
def single_utterance() -> ::Boolean
-
(::Boolean) — If
false
(default), recognition does not cease until the client closes the stream. Iftrue
, 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. Note: When specified, InputAudioConfig.single_utterance takes precedence over StreamingDetectIntentRequest.single_utterance.
#single_utterance=
def single_utterance=(value) -> ::Boolean
-
value (::Boolean) — If
false
(default), recognition does not cease until the client closes the stream. Iftrue
, 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. Note: When specified, InputAudioConfig.single_utterance takes precedence over StreamingDetectIntentRequest.single_utterance.
-
(::Boolean) — If
false
(default), recognition does not cease until the client closes the stream. Iftrue
, 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. Note: When specified, InputAudioConfig.single_utterance takes precedence over StreamingDetectIntentRequest.single_utterance.
#speech_contexts
def speech_contexts() -> ::Array<::Google::Cloud::Dialogflow::V2::SpeechContext>
-
(::Array<::Google::Cloud::Dialogflow::V2::SpeechContext>) — Context information to assist speech recognition.
See the Cloud Speech documentation for more details.
#speech_contexts=
def speech_contexts=(value) -> ::Array<::Google::Cloud::Dialogflow::V2::SpeechContext>
-
value (::Array<::Google::Cloud::Dialogflow::V2::SpeechContext>) — Context information to assist speech recognition.
See the Cloud Speech documentation for more details.
-
(::Array<::Google::Cloud::Dialogflow::V2::SpeechContext>) — Context information to assist speech recognition.
See the Cloud Speech documentation for more details.