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A tool for musicological analysis from audio files. Now it is focused on modal music analysis : Scale analysis, tonic detection

Project description


Music22 is a Python2 package for musicological analysis, especially modal music and melodies. The analysis is done from audio files.

For now, it’s main features are :

  • Fondamental frequencies extraction (using PredominentMelody() from Essentia);
  • Getting the main frequencies as peaks of the probability density function from frequencies;
  • Comparing PDFs using a correlation coefficient;
  • Getting a similarity matrix between melodies.


To use Music22, you need to manually install Essentia. In futur versions, it will be also possible to use TimeSide.

Then, install Music22 with the following :

pip install music22

Or, if you have a GitLab account, using git:

git clone
python install

Basic Usage

To use Music22 :

from music22 import modalis,scale
path = "path/to/a/folder/with/audios/wav/files/"
Kchants = modalis.melodies(path,transpose='Yes',freqref=300)

Then you can


For more details, please read to the tutorial (in french) :





GNU General Public License

Copyright (c) 2015-2017 Anas Ghrab

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Filename, size & hash SHA256 hash help File type Python version Upload date
music22-0.0.5-py3-none-any.whl (17.2 kB) Copy SHA256 hash SHA256 Wheel py3 Jan 2, 2017
music22-0.0.5.tar.gz (12.0 kB) Copy SHA256 hash SHA256 Source None Jan 2, 2017

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