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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

Overview

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.

Installation

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 https://gitlab.com/AnasGhrab/music22
python setup.py 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

Kchants.pdf_show()
Kchants.matrix()
Kchants.melodies[0].scale

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

http://nbviewer.ipython.org/github/AnasGhrab/music22/blob/master/docs/source/examples/barraq.ipynb

Contact

Homepage: http://anas.ghrab.tn

Email:

License

GNU General Public License

https://www.gnu.org/licenses/gpl-3.0.en.html

https://gitlab.com/AnasGhrab/music22/blob/master/LICENSE

Copyright (c) 2015-2017 Anas Ghrab

Project details


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music22-0.0.5-py3-none-any.whl (17.2 kB) Copy SHA256 hash SHA256 Wheel py3 Jan 2, 2017
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