A few months ago, I wrote an article on web speech recognition using TensorflowJS. Even though it was super interesting to implement, it was cumbersome for many of you to extend. The reason was pretty simple: it required a deep learning model to be trained if you wanted to detect more words than the model I provided, which was pretty basic. For those of you who needed a more practical approach, that article wasn’t enough. Following your requests, I’m writing today about how you can bring full speech recognition to your web applications using the Web Speech API. But before we address the…
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