Struct RecognitionConfig 

#[non_exhaustive]
pub struct RecognitionConfig {
    pub model: String,
    pub language_codes: Vec<String>,
    pub features: Option<RecognitionFeatures>,
    pub adaptation: Option<SpeechAdaptation>,
    pub transcript_normalization: Option<TranscriptNormalization>,
    pub translation_config: Option<TranslationConfig>,
    pub denoiser_config: Option<DenoiserConfig>,
    pub decoding_config: Option<DecodingConfig>,
    /* private fields */
}

Provides information to the Recognizer that specifies how to process the recognition request.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

model: String

Optional. Which model to use for recognition requests. Select the model best suited to your domain to get best results.

Guidance for choosing which model to use can be found in the Transcription Models Documentation and the models supported in each region can be found in the Table Of Supported Models.

language_codes: Vec<String>

Optional. The language of the supplied audio as a BCP-47 language tag. Language tags are normalized to BCP-47 before they are used eg “en-us” becomes “en-US”.

Supported languages for each model are listed in the Table of Supported Models.

If additional languages are provided, recognition result will contain recognition in the most likely language detected. The recognition result will include the language tag of the language detected in the audio.

features: Option<RecognitionFeatures>

Speech recognition features to enable.

adaptation: Option<SpeechAdaptation>

Speech adaptation context that weights recognizer predictions for specific words and phrases.

transcript_normalization: Option<TranscriptNormalization>

Optional. Use transcription normalization to automatically replace parts of the transcript with phrases of your choosing. For StreamingRecognize, this normalization only applies to stable partial transcripts (stability > 0.8) and final transcripts.

translation_config: Option<TranslationConfig>

Optional. Optional configuration used to automatically run translation on the given audio to the desired language for supported models.

denoiser_config: Option<DenoiserConfig>

Optional. Optional denoiser config. May not be supported for all models and may have no effect.

decoding_config: Option<DecodingConfig>

Decoding parameters for audio being sent for recognition.

Implementations

impl RecognitionConfig

pub fn new() -> Self

pub fn set_model<T: Into<String>>(self, v: T) -> Self

Sets the value of model.

Example

let x = RecognitionConfig::new().set_model("example");

pub fn set_language_codes<T, V>(self, v: T) -> Self

where T: IntoIterator<Item = V>, V: Into<String>,

Sets the value of language_codes.

Example

let x = RecognitionConfig::new().set_language_codes(["a", "b", "c"]);

pub fn set_features<T>(self, v: T) -> Self

where T: Into<RecognitionFeatures>,

Sets the value of features.

Example

use google_cloud_speech_v2::model::RecognitionFeatures;
let x = RecognitionConfig::new().set_features(RecognitionFeatures::default()/* use setters */);

pub fn set_or_clear_features<T>(self, v: Option<T>) -> Self

where T: Into<RecognitionFeatures>,

Sets or clears the value of features.

Example

use google_cloud_speech_v2::model::RecognitionFeatures;
let x = RecognitionConfig::new().set_or_clear_features(Some(RecognitionFeatures::default()/* use setters */));
let x = RecognitionConfig::new().set_or_clear_features(None::<RecognitionFeatures>);

pub fn set_adaptation<T>(self, v: T) -> Self

where T: Into<SpeechAdaptation>,

Sets the value of adaptation.

Example

use google_cloud_speech_v2::model::SpeechAdaptation;
let x = RecognitionConfig::new().set_adaptation(SpeechAdaptation::default()/* use setters */);

pub fn set_or_clear_adaptation<T>(self, v: Option<T>) -> Self

where T: Into<SpeechAdaptation>,

Sets or clears the value of adaptation.

Example

use google_cloud_speech_v2::model::SpeechAdaptation;
let x = RecognitionConfig::new().set_or_clear_adaptation(Some(SpeechAdaptation::default()/* use setters */));
let x = RecognitionConfig::new().set_or_clear_adaptation(None::<SpeechAdaptation>);

pub fn set_transcript_normalization<T>(self, v: T) -> Self

where T: Into<TranscriptNormalization>,

Sets the value of transcript_normalization.

Example

use google_cloud_speech_v2::model::TranscriptNormalization;
let x = RecognitionConfig::new().set_transcript_normalization(TranscriptNormalization::default()/* use setters */);

pub fn set_or_clear_transcript_normalization<T>(self, v: Option<T>) -> Self

where T: Into<TranscriptNormalization>,

Sets or clears the value of transcript_normalization.

Example

use google_cloud_speech_v2::model::TranscriptNormalization;
let x = RecognitionConfig::new().set_or_clear_transcript_normalization(Some(TranscriptNormalization::default()/* use setters */));
let x = RecognitionConfig::new().set_or_clear_transcript_normalization(None::<TranscriptNormalization>);

pub fn set_translation_config<T>(self, v: T) -> Self

where T: Into<TranslationConfig>,

Sets the value of translation_config.

Example

use google_cloud_speech_v2::model::TranslationConfig;
let x = RecognitionConfig::new().set_translation_config(TranslationConfig::default()/* use setters */);

pub fn set_or_clear_translation_config<T>(self, v: Option<T>) -> Self

where T: Into<TranslationConfig>,

Sets or clears the value of translation_config.

Example

use google_cloud_speech_v2::model::TranslationConfig;
let x = RecognitionConfig::new().set_or_clear_translation_config(Some(TranslationConfig::default()/* use setters */));
let x = RecognitionConfig::new().set_or_clear_translation_config(None::<TranslationConfig>);

pub fn set_denoiser_config<T>(self, v: T) -> Self

where T: Into<DenoiserConfig>,

Sets the value of denoiser_config.

Example

use google_cloud_speech_v2::model::DenoiserConfig;
let x = RecognitionConfig::new().set_denoiser_config(DenoiserConfig::default()/* use setters */);

pub fn set_or_clear_denoiser_config<T>(self, v: Option<T>) -> Self

where T: Into<DenoiserConfig>,

Sets or clears the value of denoiser_config.

Example

use google_cloud_speech_v2::model::DenoiserConfig;
let x = RecognitionConfig::new().set_or_clear_denoiser_config(Some(DenoiserConfig::default()/* use setters */));
let x = RecognitionConfig::new().set_or_clear_denoiser_config(None::<DenoiserConfig>);

pub fn set_decoding_config<T: Into<Option<DecodingConfig>>>(self, v: T) -> Self

Sets the value of decoding_config.

Note that all the setters affecting decoding_config are mutually exclusive.

Example

use google_cloud_speech_v2::model::AutoDetectDecodingConfig;
let x = RecognitionConfig::new().set_decoding_config(Some(
    google_cloud_speech_v2::model::recognition_config::DecodingConfig::AutoDecodingConfig(AutoDetectDecodingConfig::default().into())));

pub fn auto_decoding_config(&self) -> Option<&Box<AutoDetectDecodingConfig>>

The value of decoding_config if it holds a AutoDecodingConfig, None if the field is not set or holds a different branch.

pub fn set_auto_decoding_config<T: Into<Box<AutoDetectDecodingConfig>>>( self, v: T, ) -> Self

Sets the value of decoding_config to hold a AutoDecodingConfig.

Note that all the setters affecting decoding_config are mutually exclusive.

Example

use google_cloud_speech_v2::model::AutoDetectDecodingConfig;
let x = RecognitionConfig::new().set_auto_decoding_config(AutoDetectDecodingConfig::default()/* use setters */);
assert!(x.auto_decoding_config().is_some());
assert!(x.explicit_decoding_config().is_none());

pub fn explicit_decoding_config(&self) -> Option<&Box<ExplicitDecodingConfig>>

The value of decoding_config if it holds a ExplicitDecodingConfig, None if the field is not set or holds a different branch.

pub fn set_explicit_decoding_config<T: Into<Box<ExplicitDecodingConfig>>>( self, v: T, ) -> Self

Sets the value of decoding_config to hold a ExplicitDecodingConfig.

Note that all the setters affecting decoding_config are mutually exclusive.

Example

use google_cloud_speech_v2::model::ExplicitDecodingConfig;
let x = RecognitionConfig::new().set_explicit_decoding_config(ExplicitDecodingConfig::default()/* use setters */);
assert!(x.explicit_decoding_config().is_some());
assert!(x.auto_decoding_config().is_none());

Trait Implementations

impl Clone for RecognitionConfig

fn clone(&self) -> RecognitionConfig

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for RecognitionConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for RecognitionConfig

fn default() -> RecognitionConfig

Returns the “default value” for a type.

impl Message for RecognitionConfig

fn typename() -> &'static str

The typename of this message.

impl PartialEq for RecognitionConfig

fn eq(&self, other: &RecognitionConfig) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for RecognitionConfig