Speech Recognition in Python - The Complete Beginner’s Guide

Simple and hands-on walkthrough

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Photo by Jukka Aalho on Unsplash

Welcome to The Complete Beginner’s Guide to Speech Recognition in Python.

In

this post, I will walk you through some great hands-on exercises that will help you to have some understanding of speech recognition and the use of machine learning. Speech recognition helps us to save time by speaking instead of typing. It also gives us the power to communicate with our devices without even writing one line of code. This makes technological devices more accessible and easier to use. Speech recognition is a great example of using machine learning in real life.

Another nice example of speech recognition: Google Meet web application, did you know that from the settings you can turn on the subtitles? When you turn on subtitles, a program in the back will recognize your speech and convert it to text in real life. It’s really impressive to see how fast it happens. Another cool feature of this Google Meet recognizer is that it also knows who is speaking. In this walkthrough, we will use Google’s Speech API. I can’t wait to show you how to build your own speech recognizer. Let’s get started!

Table of contents

  • Speech Recognition Libraries
  • Recognizer Class
  • Speech Recognition Functions
  • Audio Preprocessing
  • Bonus (Different Scenarios)

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Speech Recognition in Python - The Complete Beginner’s Guide
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