Audio Fingerprinting with Python and Numpy

The first day I tried out Shazam, I was blown away. Next to GPS and surviving the fall down a flight of stairs, being able to recognize a song from a vast corpus of audio was the most incredible thing I’d ever seen my phone do. This recognition works though a process called audio fingerprinting. Examples include:

After a few weekends of puzzling through academic papers and writing code, I came up with the Dejavu Project, an open-source audio fingerprinting project in Python. You can see it here on Github:

https://github.com/worldveil/dejavu

On my testing dataset, Dejavu exhibits 100% recall when reading an unknown wave file from disk or listening to a recording for at least 5 seconds.

Following is all the knowledge you need to understand audio fingerprinting and recognition, starting from the basics. Those with signals experience should skip to “Peak Finding”.

http://willdrevo.com/fingerprinting-and-audio-recognition-with-python/

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