Digital audio processing

Introduction

This course introduces students to digital signal processing in the context of audio signals.

Prerequisites

Assignments should be completed using one of the programming languages listed below in the Tools section, and therefore requires a basic understanding of the syntax of at least one of the listed languages. If you are not sure which one to use, use MATLAB if you have it, and Python if you don't own MATLAB.

Tools

Lessons

Lesson Name	Description
Lab 00: Setting up your environment	A quick guide on setting up all of your tools so that you can best follow this course
Lab 01: Analyzing digital audio	Before getting into the modification of signals, we must first understand more about the signals themselves, and some of the pros and cons of the digital realm
Lab 02: Denoising and source separation	An overview of noise and a few different ways to remove/reduce it
Lab 03: Speech processing	An exploration of converting audio into text and vice versa
Lab 04: Music Information Retrieval	An exploration of analyzing the musical characteristics of an audio signal
Lab 05: Audio compression	An exploration of different ways to compress digital audio, prefaced by a cursory explanation of compression as a whole
Lab 06: Array processing	Things like beamforming and acoustic cameras; may be moved to a second class
Lab 07: Machine learning in audio	The name says it all; may be moved to a second class

Digital audio processing

Introduction

Prerequisites

Tools

Lessons

See also