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Audio Signal Processing for Music Applications

Coursera · Universitat Pompeu Fabra of Barcelona, Stanford University · 2 HN points · 3 HN comments

HN Academy has aggregated all Hacker News stories and comments that mention Coursera's "Audio Signal Processing for Music Applications" from Universitat Pompeu Fabra of Barcelona, Stanford University.
Course Description

In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in the context of music applications.

The course is based on open software and content. The demonstrations and programming exercises are done using Python under Ubuntu, and the references and materials for the course come from open online repositories. We are also distributing with open licenses the software and materials developed for the course.

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This course is offered by Universitat Pompeu Fabra of Barcelona, Stanford University on the Coursera platform.
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Hacker News Stories and Comments

All the comments and stories posted to Hacker News that reference this url.
I recommend Coursera Digital Signal Processing by Martin Vetterli He does a good job of explaining the math behind the DFT. Any finite signal can be expressed as a linear combination of complex exponentials - that was the aha! moment for me.

Once you have that under your belt you might find Audio Signal Processing for Music Applications by Xavier Serra a fun course to complete

I recommend Prandoni & Vetterli's coursera class on Signal processing[1]. They have really made an effort to teach this in an intuitive manner instead of just throwing equations at you. This was the course where I finally really understood Fourier transforms in a visual way.

The other course I recommend is the Audio Signal processing class by Xavier Serra[2] This is a practical class with lots of hands on programming examples and introduction to useful open-source software tools.

[1] [2]

A couple of things that people who like this might also be interested in: is currently running a course called "Audio Signal Processing for Music Applications" which I believe uses python. It's in its second week, so you have time to catch up. is a library that does note onset detection, pitch detection, beat / tempo tracking and various other things. It has python bindings.

Sep 05, 2014 · 2 points, 0 comments · submitted by e7mac
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