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
#model
def model() -> ::String
-
(::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
-
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.
-
(::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.
#speech_model_variant
def speech_model_variant() -> ::Google::Cloud::Dialogflow::V2::SpeechModelVariant
-
(::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
-
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.
-
(::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
- (::Boolean) — Use timeout based endpointing, interpreting endpointer sensitivy as seconds of timeout value.
#use_timeout_based_endpointing=
def use_timeout_based_endpointing=(value) -> ::Boolean
- value (::Boolean) — Use timeout based endpointing, interpreting endpointer sensitivy as seconds of timeout value.
- (::Boolean) — Use timeout based endpointing, interpreting endpointer sensitivy as seconds of timeout value.