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Chromaprint + fpcalc + python + statistics = compare audio files and determine similarity

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Simple tool to compare audio files

NOTE: I haven't written this, merely found it on the internet and ported to python 3.

Related projects:

Usage:

Sample files captured from a streaming source without exact start, duration but are the same song:

$ ./compare.py -i file1.mp3 -o file2.mp3
Calculating fingerprint by fpcalc for file1.mp3
Calculating fingerprint by fpcalc for file2.mp3
File A: file1.mp3
File B: file2.mp3
Match with correlation of 63.74% at offset 55

$ ./compare.py -i file2.mp3 -o file1.mp3
Calculating fingerprint by fpcalc for file2.mp3
Calculating fingerprint by fpcalc for file1.mp3
File A: file2.mp3
File B: file2.mp3
Match with correlation of 63.74% at offset -5

For some files the swapped order may not lead to the same results due to offset or the way the fpcalc fingerprint is generated (see help).

$ ./compare.py -i file2.mp3 -o file3.mp3
Calculating fingerprint by fpcalc for file2.mp3
Calculating fingerprint by fpcalc for file3.mp3
File A: file2.mp3
File B: file3.mp3
Match with correlation of 93.01% at offset -24

$ ./compare.py
Calculating fingerprint by fpcalc for file1.mp3
Calculating fingerprint by fpcalc for file3.mp3
File A: file1.mp3
File B: file3.mp3
Match with correlation of 63.96% at offset 31

Internally the fingerprint is generated by fpcalc -length 500, cached versions can be produced by fpcalc-gen.

Changes:

  • port to python3
  • print the similary as percents
  • print input files on separate lines
  • support precalculated fingerprint in file.mp3.fpcalc

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Chromaprint + fpcalc + python + statistics = compare audio files and determine similarity

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