makammusicbrainz: makammusicbrainz v1.2.0

Abstract

makammusicbrainz Packages to fetch metadata related to the makam music recordings and works from MusicBrainz Usage # audio metadata from makammusicbrainz.AudioMetadata import AudioMetadata audioMetadata = AudioMetadata(get_work_attributes=True, print_warnings=True) audio_meta = audioMetadata.from_musicbrainz(rec_input) You can either supply recording MBID or recording filepath as the rec_input # work metadata from makammusicbrainz.WorkMetadata import WorkMetadata workMetadata = WorkMetadata(print_warnings=True) work_meta = workMetadata.from_musicbrainz(mbid) Please refer to demo.ipynb for an interactive demo. Installation If you want to install makammusicbrainz, it is recommended to install the package and its dependencies into a virtualenv. In the terminal, do the following: virtualenv 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 Changelog Improved code quality Modularized WorkMetadata Minor I/O changes Authors Sertan Senturk [email protected] Reference Thesis Acknowledgements We would like to thank Dr. Robert Grafias for allowing us to use his makam music collection in our research (in this repository the recording with MBID: 635530df-8e13-4587-a94d-32f3c1643ca6)