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 |
See also
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Type classification: this resource is a course. |
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Educational level: this is a tertiary (university) resource. |
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Subject classification: this is an engineering resource. |
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Completion status: this resource is just getting off the ground. Please feel welcome to help! |
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