Reference documentation and code samples for the Dialogflow V2 API class Google::Cloud::Dialogflow::V2::SpeechToTextConfig.
Configures speech transcription for ConversationProfile.
Inherits
- Object
Extended By
- Google::Protobuf::MessageExts::ClassMethods
Includes
- Google::Protobuf::MessageExts
Methods
#audio_encoding
def audio_encoding() -> ::Google::Cloud::Dialogflow::V2::AudioEncoding
Returns
- (::Google::Cloud::Dialogflow::V2::AudioEncoding) — Audio encoding of the audio content to process.
#audio_encoding=
def audio_encoding=(value) -> ::Google::Cloud::Dialogflow::V2::AudioEncoding
Parameter
- value (::Google::Cloud::Dialogflow::V2::AudioEncoding) — Audio encoding of the audio content to process.
Returns
- (::Google::Cloud::Dialogflow::V2::AudioEncoding) — Audio encoding of the audio content to process.
#enable_word_info
def enable_word_info() -> ::Boolean
Returns
- (::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
Parameter
- 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.
Returns
- (::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
Returns
- (::String) — 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
Parameter
- value (::String) — 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.
Returns
- (::String) — 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
Returns
- (::String) — Which Speech model to select. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then Dialogflow auto-selects a model based on other parameters in the SpeechToTextConfig and Agent settings. 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. If you specify a model, the following models typically have the best performance:
- phone_call (best for Agent Assist and telephony)
- latest_short (best for Dialogflow non-telephony)
- command_and_search
Leave this field unspecified to use Agent Speech settings for model selection.
#model=
def model=(value) -> ::String
Parameter
- value (::String) — Which Speech model to select. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then Dialogflow auto-selects a model based on other parameters in the SpeechToTextConfig and Agent settings. 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. If you specify a model, the following models typically have the best performance:
- phone_call (best for Agent Assist and telephony)
- latest_short (best for Dialogflow non-telephony)
- command_and_search
Leave this field unspecified to use Agent Speech settings for model selection.
Returns
- (::String) — Which Speech model to select. Select the model best suited to your domain to get best results. If a model is not explicitly specified, then Dialogflow auto-selects a model based on other parameters in the SpeechToTextConfig and Agent settings. 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. If you specify a model, the following models typically have the best performance:
- phone_call (best for Agent Assist and telephony)
- latest_short (best for Dialogflow non-telephony)
- command_and_search
Leave this field unspecified to use Agent Speech settings for model selection.
#phrase_sets
def phrase_sets() -> ::Array<::String>
Returns
- (::Array<::String>) — List of names of Cloud Speech phrase sets that are used for transcription.
#phrase_sets=
def phrase_sets=(value) -> ::Array<::String>
Parameter
- value (::Array<::String>) — List of names of Cloud Speech phrase sets that are used for transcription.
Returns
- (::Array<::String>) — List of names of Cloud Speech phrase sets that are used for transcription.
#sample_rate_hertz
def sample_rate_hertz() -> ::Integer
Returns
- (::Integer) — 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
Parameter
- value (::Integer) — Sample rate (in Hertz) of the audio content sent in the query. Refer to Cloud Speech API documentation for more details.
Returns
- (::Integer) — Sample rate (in Hertz) of the audio content sent in the query. Refer to Cloud Speech API documentation for more details.
#speech_model_variant
def speech_model_variant() -> ::Google::Cloud::Dialogflow::V2::SpeechModelVariant
Returns
- (::Google::Cloud::Dialogflow::V2::SpeechModelVariant) — The speech model used in speech to text.
SPEECH_MODEL_VARIANT_UNSPECIFIED
,USE_BEST_AVAILABLE
will be treated asUSE_ENHANCED
. It can be overridden in AnalyzeContentRequest and StreamingAnalyzeContentRequest request. If enhanced model variant is specified and an enhanced version of the specified model for the language does not exist, then it would emit an error.
#speech_model_variant=
def speech_model_variant=(value) -> ::Google::Cloud::Dialogflow::V2::SpeechModelVariant
Parameter
- value (::Google::Cloud::Dialogflow::V2::SpeechModelVariant) — The speech model used in speech to text.
SPEECH_MODEL_VARIANT_UNSPECIFIED
,USE_BEST_AVAILABLE
will be treated asUSE_ENHANCED
. It can be overridden in AnalyzeContentRequest and StreamingAnalyzeContentRequest request. If enhanced model variant is specified and an enhanced version of the specified model for the language does not exist, then it would emit an error.
Returns
- (::Google::Cloud::Dialogflow::V2::SpeechModelVariant) — The speech model used in speech to text.
SPEECH_MODEL_VARIANT_UNSPECIFIED
,USE_BEST_AVAILABLE
will be treated asUSE_ENHANCED
. It can be overridden in AnalyzeContentRequest and StreamingAnalyzeContentRequest request. If enhanced model variant is specified and an enhanced version of the specified model for the language does not exist, then it would emit an error.
#use_timeout_based_endpointing
def use_timeout_based_endpointing() -> ::Boolean
Returns
- (::Boolean) — Use timeout based endpointing, interpreting endpointer sensitivity as seconds of timeout value.
#use_timeout_based_endpointing=
def use_timeout_based_endpointing=(value) -> ::Boolean
Parameter
- value (::Boolean) — Use timeout based endpointing, interpreting endpointer sensitivity as seconds of timeout value.
Returns
- (::Boolean) — Use timeout based endpointing, interpreting endpointer sensitivity as seconds of timeout value.