[aeroheim]

For anyone interested in audio analysis/music information retrieval, I found the book Fundamentals of Music Processing (http://www.music-processing.de) to be an amazing resource.

It goes over the basics like FFTs, covers audio features used in analysis (e.g spectral, chroma, etc), and goes in-depth into advanced techniques such as audio fingerprinting, beat tracking, harmony analysis, etc (stuff that you would otherwise have to dig into research papers for!). The book is fairly readable as well so you don't need to have a strong engineering or music background to dig into it.

Some more analysis/MIR links:

Great notebook to go alongside FMP: https://musicinformationretrieval.com/

One of the most widely used libraries for MIR in Python: https://librosa.org/doc/latest/index.html

A library for MIR in JS: https://github.com/meyda/meyda

[randcraw]

Fundamentals is great. And the two Musimathics books neatly complement the DSP analysis of music, by approaching music generatively, as a product of math and physics: https://www.amazon.com/Musimathics-Mathematical-Foundations-...

[olilarkin]

I am also a fan of Gareth Loy's Musimathics Books, should add them to the list

[iainctduncan]

My supervisor George Tzanetakis also recently put his MIR course up on Kadenze. Haven't taken it yet, but it's supposed to be good!

[olilarkin]

I have not done much MIR stuff in the past, but I recently found https://musicinformationretrieval.com/ and that does seem like a great resource