Step By Step Guide To Create Your Own Speech Classifier

Text classification is one of the most common problems in natural language processing. In the past few years, there have been numerous successful attempts which gave rise to many state-of-the-art language models capable of performing classification tasks with accuracy and precision. Text classification powers many real-world applications -- from simple spam filtering to voice assistants like Alexa. These applications have the capability to classify the user's input to understand the context of spoken words. In this article, we will build on the basic idea of giving the machine the power to listen to human speech and classify what the person is talking about.