SourceLanguageRecognizer Class

A source language recognizer - standalone language recognizer, can be used for single language or continuous language detection.

Note

Added in version 1.18.0.

Inheritance

Recognizer

SourceLanguageRecognizer

Constructor

SourceLanguageRecognizer(speech_config: SpeechConfig, auto_detect_source_language_config: AutoDetectSourceLanguageConfig | None = None, audio_config: AudioConfig | None = None)

Parameters

Name	Description
speech_config Required	The config for the speech recognizer
auto_detect_source_language_config	The auto detection source language config default value: None
audio_config	The config for the audio input default value: None

Methods

recognize_once	Performs detection in a blocking (synchronous) mode. Returns after a single utterance is detected. The task returns the recognition text as result. For long-running multi-utterance recognition, use start_continuous_recognition_async instead.
recognize_once_async	Performs detection in a non-blocking (asynchronous) mode. This will detect a single utterance. For long-running multi-utterance recognition, use start_continuous_recognition_async instead.
start_continuous_recognition	Synchronously initiates continuous recognition operation. User has to connect to EventSignal to receive recognition results. Call stop_continuous_recognition_async to stop the recognition.
start_continuous_recognition_async	Asynchronously initiates continuous recognition operation. User has to connect to EventSignal to receive recognition results. Call stop_continuous_recognition_async to stop the recognition.
start_keyword_recognition	Synchronously configures the recognizer with the given keyword model. After calling this method, the recognizer is listening for the keyword to start the recognition. Call stop_keyword_recognition() to end the keyword initiated recognition.
start_keyword_recognition_async	Asynchronously configures the recognizer with the given keyword model. After calling this method, the recognizer is listening for the keyword to start the recognition. Call stop_keyword_recognition_async() to end the keyword initiated recognition.
stop_continuous_recognition	Synchronously terminates ongoing continuous recognition operation.
stop_continuous_recognition_async	Asynchronously terminates ongoing continuous recognition operation.
stop_keyword_recognition	Synchronously ends the keyword initiated recognition.
stop_keyword_recognition_async	Asynchronously ends the keyword initiated recognition.

recognize_once

Performs detection in a blocking (synchronous) mode. Returns after a single utterance is detected. The task returns the recognition text as result. For long-running multi-utterance recognition, use start_continuous_recognition_async instead.

recognize_once() -> SpeechRecognitionResult

Returns

Type	Description
	The result value of the synchronous recognition.

recognize_once_async

Performs detection in a non-blocking (asynchronous) mode. This will detect a single utterance. For long-running multi-utterance recognition, use start_continuous_recognition_async instead.

recognize_once_async() -> ResultFuture

Returns

Type	Description
	A future containing the result value of the asynchronous recognition.

start_continuous_recognition

Synchronously initiates continuous recognition operation. User has to connect to EventSignal to receive recognition results. Call stop_continuous_recognition_async to stop the recognition.

start_continuous_recognition()

start_continuous_recognition_async

Asynchronously initiates continuous recognition operation. User has to connect to EventSignal to receive recognition results. Call stop_continuous_recognition_async to stop the recognition.

start_continuous_recognition_async() -> ResultFuture

Returns

Type	Description
	A future that is fulfilled once recognition has been initialized.

start_keyword_recognition

Synchronously configures the recognizer with the given keyword model. After calling this method, the recognizer is listening for the keyword to start the recognition. Call stop_keyword_recognition() to end the keyword initiated recognition.

start_keyword_recognition(model: KeywordRecognitionModel)

Parameters

Name	Description
model Required	the keyword recognition model that specifies the keyword to be recognized.

start_keyword_recognition_async

Asynchronously configures the recognizer with the given keyword model. After calling this method, the recognizer is listening for the keyword to start the recognition. Call stop_keyword_recognition_async() to end the keyword initiated recognition.

start_keyword_recognition_async(model: KeywordRecognitionModel)

Parameters

Name	Description
model Required	the keyword recognition model that specifies the keyword to be recognized.

Returns

Type	Description
	A future that is fulfilled once recognition has been initialized.

stop_continuous_recognition

Synchronously terminates ongoing continuous recognition operation.

stop_continuous_recognition()

stop_continuous_recognition_async

Asynchronously terminates ongoing continuous recognition operation.

stop_continuous_recognition_async()

Returns

Type	Description
	A future that is fulfilled once recognition has been stopped.

stop_keyword_recognition

Synchronously ends the keyword initiated recognition.

stop_keyword_recognition()

stop_keyword_recognition_async

Asynchronously ends the keyword initiated recognition.

stop_keyword_recognition_async()

Returns

Type	Description
	A future that is fulfilled once recognition has been stopped.

Attributes

authorization_token

The authorization token that will be used for connecting to the service.

Note

The caller needs to ensure that the authorization token is valid. Before the

authorization token expires, the caller needs to refresh it by calling this setter with a

new valid token. Otherwise, the recognizer will encounter errors during recognition.

canceled

Signal for events containing canceled recognition results (indicating a recognition attempt that was canceled as a result or a direct cancellation request or, alternatively, a transport or protocol failure).

Callbacks connected to this signal are called with a SpeechRecognitionCanceledEventArgs, instance as the single argument.

endpoint_id

The endpoint ID of a customized speech model that is used for recognition, or a custom voice model for speech synthesis.

properties

A collection of properties and their values defined for this Recognizer.

recognized

Signal for events containing final recognition results (indicating a successful recognition attempt).

Callbacks connected to this signal are called with a SpeechRecognitionEventArgs instance as the single argument, dependent on the type of recognizer.

recognizing

Signal for events containing intermediate recognition results.

Callbacks connected to this signal are called with a SpeechRecognitionEventArgs instance as the single argument.

session_started

Signal for events indicating the start of a recognition session (operation).

Callbacks connected to this signal are called with a SessionEventArgs instance as the single argument.

session_stopped

Signal for events indicating the end of a recognition session (operation).

Callbacks connected to this signal are called with a SessionEventArgs instance as the single argument.

speech_end_detected

Signal for events indicating the end of speech.

Callbacks connected to this signal are called with a RecognitionEventArgs instance as the single argument.

speech_start_detected

Signal for events indicating the start of speech.

Callbacks connected to this signal are called with a RecognitionEventArgs instance as the single argument.