Install a new Text-to-Speech language in Windows 10
Lessįor customers using Learning Tools for OneNote, Word, or Read Aloud in the Microsoft Edge browser, this article documents ways to download new languages for the Text-to-Speech feature in different versions of Windows.
"/Microsoft/cognitive-services-speech-sdk-go/speech"įunc sessionStartedHandler(event speech.Word for the web OneNote for the web OneNote for Windows 10 Word 2016 More. "/Microsoft/cognitive-services-speech-sdk-go/audio" Replace the contents of speech-recognition.go with the following code. Open a command prompt where you want the new module, and create a new file named speech-recognition.go. I have the tools I need I ran into an issue Recognize speech from a microphoneįollow these steps to create a new GO module. Intent recognition uses an identical pattern with the StartKeywordRecognitionAsync and StopKeywordRecognitionAsync functions. To stop continuous recognition with keyword recognition, use recognizer.StopKeywordRecognitionAsync() instead of recognizer.StopContinuousRecognitionAsync(). Then, replace the call to recognizer.StartContinuousRecognitionAsync() with recognizer.StartKeywordRecognitionAsync(KeywordRecognitionModel), and pass your KeywordRecognitionModel object. table file for your keyword model.įor speech-to-text, follow the same design pattern shown in the recognize speech guide to set up continuous recognition.
This allows you to use the same code you would normally use for continuous recognition, with the ability to reference a. Other classes in the Speech SDK support continuous recognition (for both speech and intent recognition) with keyword recognition.
However, you can run both keyword recognition and verification utilizing a direct back-end connection. Object for authentication context, and does not contact the back-end. The example shown here uses local keyword recognition, since it does not require a SpeechConfig KeywordRecognitionResult result = await keywordRecognizer.RecognizeOnceAsync(keywordModel) Thus, you generally use this design pattern in multi-threaded applications, or in use cases where you may be waiting for a wake-word indefinitely. This starts a keyword recognition session that lasts until the keyword is recognized. Next, running keyword recognition is done with one call to RecognizeOnceAsync() by passing your model object. Using var keywordRecognizer = new KeywordRecognizer(audioConfig) Using var audioConfig = AudioConfig.FromDefaultMicrophoneInput()
Var keywordModel = KeywordRecognitionModel.FromFile("your/path/to/Activate_device.table") Additionally, you create an AudioConfig using the default microphone, then instantiate a new KeywordRecognizer using the audio configuration. table file you downloaded from Speech Studio. table file with the SDK, so make sure to note its path.įirst, load your keyword model file using the FromFile() static function, which returns a KeywordRecognitionModel. Extract the archive, and you see a file with the. The keyword list will change from Processing to Succeeded when the model is complete.įrom the collapsible menu on the left, select Tune for options to tune and download your model. It may take up to 30 minutes for the model to be generated. You can view a list of regions that support the Advanced model type in the Keyword recognition region support documentation. Listen to each candidate by selecting the play buttons and remove the checks next to any pronunciations that are incorrect.Select all pronunciations that correspond to how you expect your users to say the keyword and then select Next to begin generating the keyword model. The portal creates candidate pronunciations for your keyword. See the guidelines on choosing an effective keyword. To create a custom keyword for your virtual assistant, select Create a new model.Įnter a Name for the model, Description, and Keyword of your choice, then select Next. Select your project's name from the list. You can only choose one language per project, and support is currently limited to English (United States) and Chinese (Mandarin, Simplified). On the Custom Keyword page, select Create a new project.Įnter a Name, Description, and Language for your custom keyword project. If you don't have a speech subscription, go to Create Speech Services.
You cannot create custom keywords from the SDK or with REST calls. table files, can only be created in Speech Studio. Custom keyword models, and the resulting.