Struct google_api_proto::google::cloud::speech::v2::RecognitionFeatures

pub struct RecognitionFeatures {
    pub profanity_filter: bool,
    pub enable_word_time_offsets: bool,
    pub enable_word_confidence: bool,
    pub enable_automatic_punctuation: bool,
    pub enable_spoken_punctuation: bool,
    pub enable_spoken_emojis: bool,
    pub multi_channel_mode: i32,
    pub diarization_config: Option<SpeakerDiarizationConfig>,
    pub max_alternatives: i32,
}

Available recognition features.

Fields

profanity_filter: bool

If set to true, the server will attempt to filter out profanities, replacing all but the initial character in each filtered word with asterisks, for instance, “f***”. If set to false or omitted, profanities won’t be filtered out.

enable_word_time_offsets: bool

If true, the top result includes a list of words and the start and end time offsets (timestamps) for those words. If false, no word-level time offset information is returned. The default is false.

enable_word_confidence: bool

If true, the top result includes a list of words and the confidence for those words. If false, no word-level confidence information is returned. The default is false.

enable_automatic_punctuation: bool

If true, adds punctuation to recognition result hypotheses. This feature is only available in select languages. The default false value does not add punctuation to result hypotheses.

enable_spoken_punctuation: bool

The spoken punctuation behavior for the call. If true, replaces spoken punctuation with the corresponding symbols in the request. For example, “how are you question mark” becomes “how are you?”. See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If false, spoken punctuation is not replaced.

enable_spoken_emojis: bool

The spoken emoji behavior for the call. If true, adds spoken emoji formatting for the request. This will replace spoken emojis with the corresponding Unicode symbols in the final transcript. If false, spoken emojis are not replaced.

multi_channel_mode: i32

Mode for recognizing multi-channel audio.

diarization_config: Option<SpeakerDiarizationConfig>

Configuration to enable speaker diarization and set additional parameters to make diarization better suited for your application. When this is enabled, we send all the words from the beginning of the audio for the top alternative in every consecutive STREAMING responses. This is done in order to improve our speaker tags as our models learn to identify the speakers in the conversation over time. For non-streaming requests, the diarization results will be provided only in the top alternative of the FINAL SpeechRecognitionResult.

max_alternatives: i32

Maximum number of recognition hypotheses to be returned. The server may return fewer than max_alternatives. Valid values are 0-30. A value of 0 or 1 will return a maximum of one. If omitted, will return a maximum of one.

Implementations

impl RecognitionFeatures

pub fn multi_channel_mode(&self) -> MultiChannelMode

Returns the enum value of multi_channel_mode, or the default if the field is set to an invalid enum value.

pub fn set_multi_channel_mode(&mut self, value: MultiChannelMode)

Sets multi_channel_mode to the provided enum value.

Trait Implementations

impl Clone for RecognitionFeatures

fn clone(&self) -> RecognitionFeatures

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for RecognitionFeatures

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

Formats the value using the given formatter.

impl Default for RecognitionFeatures

fn default() -> Self

Returns the “default value” for a type.

impl Message for RecognitionFeatures

fn encoded_len(&self) -> usize

Returns the encoded length of the message without a length delimiter.

fn clear(&mut self)

Clears the message, resetting all fields to their default.

fn encode(&self, buf: &mut impl BufMut) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message to a buffer.

fn encode_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message to a newly allocated buffer.

fn encode_length_delimited( &self, buf: &mut impl BufMut, ) -> Result<(), EncodeError>

where Self: Sized,

Encodes the message with a length-delimiter to a buffer.

fn encode_length_delimited_to_vec(&self) -> Vec<u8>

where Self: Sized,

Encodes the message with a length-delimiter to a newly allocated buffer.

fn decode(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes an instance of the message from a buffer.

fn decode_length_delimited(buf: impl Buf) -> Result<Self, DecodeError>

where Self: Default,

Decodes a length-delimited instance of the message from the buffer.

fn merge(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes an instance of the message from a buffer, and merges it into self.

fn merge_length_delimited(&mut self, buf: impl Buf) -> Result<(), DecodeError>

where Self: Sized,

Decodes a length-delimited instance of the message from buffer, and merges it into self.

impl PartialEq for RecognitionFeatures

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

This method tests for self and other values to be equal, and is used by ==.

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

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

impl Copy for RecognitionFeatures

impl StructuralPartialEq for RecognitionFeatures