Introduction to Automatic Speech Recognition and Natural Language Processing
This article was published as a part of the Data Science Blogathon.
Introduction
In this article, we will take a closer look at how speech recognition really works. Now, when we say speech recognition, we’re really talking about ASR, or automatic speech recognition. With automatic speech recognition, the goal is to simply input any continuous audio speech and output the text equivalent. We want our ASR to be speaker-independent and have high accuracy. Such a system has long been a core goal of AI, and in the 1980s and 1990s, advances in probabilistic models began to make automatic speech recognition a reality.
What makes speech recognition hard?
Like many other AI problems we’ve seen, automatic speech recognition can be implemented by gathering a large pool of labeled data, training a model on that data, and then deploying the trained model to