![]() When this happens, our application will inform the user via the instruction box. ![]() We also created the onspeechend event handler triggered when there is no input from the microphone, and the application is in an idle state. If any error occurs during this process, our application will inform the user via the instruction box. We also created the onerror event handler triggered when an error occurs while transcribing the speech. ![]() If you click the Start button, you will see that it will automatically convert whatever you speak into text and fill the transcribed text inside the textbox. In this function, we will fetch the transcript of the speech given to us by the event.results variable, then update our previous content variable and textarea with the new results. This event is triggered when the recognition API has successfully converted speech from the user’s microphone to text, and the data is made available via the event.results variable. Next, we will write code for the onresult event handler. Here, we programmed our application to inform the user that voice recognition is on and converts speech to text. The onstart event handler is triggered when the recognition API starts and has microphone access. They are onstart, onspeechend, onerror, and onresult. We also added a couple of event handlers to the recognition object to bring our application to life. When you press the button, your browser will request permission to use your microphone, as shown in the image below. When this happens, the recognition API is begun and will listen for input from the user. ![]() We created an event handler triggered whenever the user clicks on the Start button to start recognizing. Thus, we are making the API continuously listen for input from the user’s microphone. We then set the continuous variable of the recognition object to true. We are initializing it to an empty string because we have not converted anything yet. We also created a content variable that keeps track of text the application has converted and displayed in the textarea from the HTML file. In the code above, we invoked the Web Speech Recognition API and initialized an instance stored in the recognition variable.Īfter this, we made references to our #textbox and #instructions elements we defined in the HTML using JQuery to control them from our code. Enter fullscreen mode Exit fullscreen mode ![]()
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