Shazam / SoundHound Music Analysis - Recommendation for Reading I need to explore some area around music frequency analysis.
A good example is the way Shazam / SoundHound app works (mapping frequency domain, comparing, creating some vector map, handling noises and errors).

I am looking for a while for a practical book or articles about this. By practical i mean with a simple language/code examples, etc.

No Sigmas, and integrals for infinity that takes you back to university.

It's really hard to find any music/audio analysis practical material.
The basic idea is called - Music Finger Printing.  

Searching for it will yield many results.
I'm attaching few good ones I found:


How Does Shazam Work?
How Does Shazam Work? Music Recognition Algorithms, Fingerprinting and Processing.
Creating Your Own Shazam (Identify Songs) with Python Through Audio Fingerprinting (The YouTube Video).
Audio Fingerprinting with Python and Numpy.
Fingerprint Audio Files &amp; Identify What's Playing.
Playing with Shazam Fingerprints.


Reading all those won't teach the exact rigorous Math, but it will give you intuition and tools to start with.