Class: Google::Apis::DialogflowV2beta1::GoogleCloudDialogflowV2beta1SpeechToTextConfig
- Inherits:
-
Object
- Object
- Google::Apis::DialogflowV2beta1::GoogleCloudDialogflowV2beta1SpeechToTextConfig
- Includes:
- Core::Hashable, Core::JsonObjectSupport
- Defined in:
- lib/google/apis/dialogflow_v2beta1/classes.rb,
lib/google/apis/dialogflow_v2beta1/representations.rb,
lib/google/apis/dialogflow_v2beta1/representations.rb
Overview
Configures speech transcription for ConversationProfile.
Instance Attribute Summary collapse
-
#audio_encoding ⇒ String
Audio encoding of the audio content to process.
-
#enable_word_info ⇒ Boolean
(also: #enable_word_info?)
If
true, Dialogflow returns SpeechWordInfo in StreamingRecognitionResult with information about the recognized speech words, e.g. -
#language_code ⇒ String
The language of the supplied audio.
-
#model ⇒ String
Which Speech model to select.
-
#phrase_sets ⇒ Array<String>
List of names of Cloud Speech phrase sets that are used for transcription.
-
#sample_rate_hertz ⇒ Fixnum
Sample rate (in Hertz) of the audio content sent in the query.
-
#speech_model_variant ⇒ String
The speech model used in speech to text.
-
#use_timeout_based_endpointing ⇒ Boolean
(also: #use_timeout_based_endpointing?)
Use timeout based endpointing, interpreting endpointer sensitivy as seconds of timeout value.
Instance Method Summary collapse
-
#initialize(**args) ⇒ GoogleCloudDialogflowV2beta1SpeechToTextConfig
constructor
A new instance of GoogleCloudDialogflowV2beta1SpeechToTextConfig.
-
#update!(**args) ⇒ Object
Update properties of this object.
Constructor Details
#initialize(**args) ⇒ GoogleCloudDialogflowV2beta1SpeechToTextConfig
Returns a new instance of GoogleCloudDialogflowV2beta1SpeechToTextConfig.
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# File 'lib/google/apis/dialogflow_v2beta1/classes.rb', line 19175 def initialize(**args) update!(**args) end |
Instance Attribute Details
#audio_encoding ⇒ String
Audio encoding of the audio content to process.
Corresponds to the JSON property audioEncoding
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# File 'lib/google/apis/dialogflow_v2beta1/classes.rb', line 19111 def audio_encoding @audio_encoding end |
#enable_word_info ⇒ Boolean Also known as: enable_word_info?
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.
Corresponds to the JSON property enableWordInfo
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# File 'lib/google/apis/dialogflow_v2beta1/classes.rb', line 19119 def enable_word_info @enable_word_info end |
#language_code ⇒ 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.
Corresponds to the JSON property languageCode
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# File 'lib/google/apis/dialogflow_v2beta1/classes.rb', line 19128 def language_code @language_code end |
#model ⇒ 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.
Corresponds to the JSON property
model
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# File 'lib/google/apis/dialogflow_v2beta1/classes.rb', line 19145 def model @model end |
#phrase_sets ⇒ Array<String>
List of names of Cloud Speech phrase sets that are used for transcription.
Corresponds to the JSON property phraseSets
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# File 'lib/google/apis/dialogflow_v2beta1/classes.rb', line 19150 def phrase_sets @phrase_sets end |
#sample_rate_hertz ⇒ Fixnum
Sample rate (in Hertz) of the audio content sent in the query. Refer to Cloud
Speech API documentation
for more details.
Corresponds to the JSON property sampleRateHertz
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# File 'lib/google/apis/dialogflow_v2beta1/classes.rb', line 19157 def sample_rate_hertz @sample_rate_hertz end |
#speech_model_variant ⇒ String
The speech model used in speech to text. SPEECH_MODEL_VARIANT_UNSPECIFIED,
USE_BEST_AVAILABLE will be treated as USE_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.
Corresponds to the JSON property speechModelVariant
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# File 'lib/google/apis/dialogflow_v2beta1/classes.rb', line 19166 def speech_model_variant @speech_model_variant end |
#use_timeout_based_endpointing ⇒ Boolean Also known as: use_timeout_based_endpointing?
Use timeout based endpointing, interpreting endpointer sensitivy as seconds of
timeout value.
Corresponds to the JSON property useTimeoutBasedEndpointing
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# File 'lib/google/apis/dialogflow_v2beta1/classes.rb', line 19172 def use_timeout_based_endpointing @use_timeout_based_endpointing end |
Instance Method Details
#update!(**args) ⇒ Object
Update properties of this object
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# File 'lib/google/apis/dialogflow_v2beta1/classes.rb', line 19180 def update!(**args) @audio_encoding = args[:audio_encoding] if args.key?(:audio_encoding) @enable_word_info = args[:enable_word_info] if args.key?(:enable_word_info) @language_code = args[:language_code] if args.key?(:language_code) @model = args[:model] if args.key?(:model) @phrase_sets = args[:phrase_sets] if args.key?(:phrase_sets) @sample_rate_hertz = args[:sample_rate_hertz] if args.key?(:sample_rate_hertz) @speech_model_variant = args[:speech_model_variant] if args.key?(:speech_model_variant) @use_timeout_based_endpointing = args[:use_timeout_based_endpointing] if args.key?(:use_timeout_based_endpointing) end |