Thanks for the pointer - I've been looking for something similar (DSP being to general).
While this course describes the mathematical background of music signal processing, does anyone know of a practical extension to it - i.e. resources that demonstrate the basics like FFT, parametric EQs and so on in such a way that one can write a time-efficient implementation of them?
The website by Julius O Smith noted above is a goldmine for a lot of theoretically grounded but practical descriptions of many algorithms. Then, you have http://www.musicdsp.org which has a lot of code snippets, + the ML is frequented by some of the most gifted programmers in the area of music softwares.
I have noticed that papers by Jon Dattorro are now online: Jon Dattorro is the guy behind a lot of ensoniq and lexicon stuff, and he knows a lot about both practical and theoretical aspects (look for "Jon Dattorro aes" for his seris in the journal of AES).
While this course describes the mathematical background of music signal processing, does anyone know of a practical extension to it - i.e. resources that demonstrate the basics like FFT, parametric EQs and so on in such a way that one can write a time-efficient implementation of them?