Overview

Are you a signal processing engineer working on DSP algorithms, product development, or signal measurements? Are you trying to use more machine learning or deep learning in your projects?
In this session you will learn the fundamental ideas around the application of deep learning to audio, speech, and acoustics.

We start by discussing the use of established pre-trained deep learning models to solve a few complex but standard problems. We then show how to design, train, and deploy a complete speech command recognition system from scratch using MATLAB, starting from a reasonably large dataset and ending up with a real-time prototype.