Python tools for analysing and working with audio.
Dunya and pycompmusic have been developed by a number of people in the CompMusic project. For a list of contributors see the AUTHORS file. Dunya includes methods and techniques developed as part of CompMusic. For a list of publications see https://compmusic.upf.edu/node/4.
Dunya is Copyright 2013-2019 Music Technology Group - Universitat Pompeu Fabra
Dunya is released under the terms of the GNU Affero General Public License (v3 or later). See the COPYING file for more information.
If you would prefer to get a (non FOSS) commercial license, please contact us at email@example.com
This library is designed for python 3. We only support python 2 on a best-effort basis.
It is recommended to install pycompmusic and dependencies into a virtualenv. Do it like this:
virtualenv -p python3 env source env/bin/activate python setup.py install
If you want to be able to edit files and have the changes be reflected, then install compmusic like this instead
pip install -e .
Now you can install the rest of the dependencies:
pip install -r requirements.txt
There are sphinx docs available in the
docs directory. Install sphinx to be able to build them
pip install sphinx
to build the docs run
from the root directory.
API Quick reference
In order to use the api is required to have a user in dunya. You can register on dunya through the web: https://dunya.compmusic.upf.edu/social/register/ . Once your account is active you can start using the api, for example you can get the information of all the recording of the makam collections with this url: https://dunya.compmusic.upf.edu/api/makam/recording
In this repository you can find the code to access the API with python. For example to access the recording in the makam collection:
from compmusic import dunya dunya.set_token("<your_token>") recordings = dunya.makam.get_recordings()
In order to get your API token you have to log in to dunya (https://dunya.compmusic.upf.edu/social/login/) and then go to your profile: https://dunya.compmusic.upf.edu/social/profile/ where you will find your token.