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
-
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() -> SpeechRecognitionResultReturns
| 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() -> ResultFutureReturns
| 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() -> ResultFutureReturns
| 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.
Azure SDK for Python