![]() Next, add the script to the HTML file using the script tag after the body tag.Īdding the script tag after the body tag will make sure that the script file is loaded after all the elements have been loaded to the DOM which aids performance. I’ve used Bootstrap to style the webpage.įirst, create a new JavaScript file and name it speechRecognition.js. ![]() In the starter code, I’ve set up a language and dialect select menu, two buttons to start/stop the speech recognition, and a box to display the transcript. Follow the Repository’s README for instructions.įor the final code, you can look at this GitHub Repository. You can clone it from this repository on GitHub. To focus more on speech recognition, I’ve prepared some starter code.Let your users control your site with their. It includes a microphone button, voice recognition support, and a text-to-. annyang is a JavaScript SpeechRecognition library that makes adding voice commands to your site super-easy. I’ll be using Visual Studio Code.Ī browser to view the webpage, preferably Google Chrome or Firefox. This lets you use speech input in any browser or application that has a text area. ![]() To follow along with this tutorial, you should have:Ī basic understanding of HTML and JavaScript.Ī code editor. You can check the browser compatibility for the Web Speech API here. speech.lang 'en' Text: The text property gets and sets the text that will be synthesized when the utterance is spoken. In this tutorial, we will build a simple webpage that uses the Web Speech API to implement speech recognition. ![]() The Web Speech API is used to incorporate voice data into web apps. ![]()
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