Uploaded June 2020 | Updated September 2026, 2 weeks ago

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In this series, you'll learn how to process audio data and extract relevant audio features for your machine learning applications.

First, you'll get a solid theoretical understanding of key audio digital signal processing topics such as the Fourier Transform, Mel-Spectrograms, and sound waves. You'll also get your hands dirty by processing audio data with the industry-standard library for audio/music processing.

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Slides:
github.com/musikalkemist/AudioSignalProcessingForML/tree/master/1-%20Overview

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