Skip to content

Python3 auto port of toolkit for syncopation modelling (C. Song, M. Pearce & C. Harte)

Notifications You must be signed in to change notification settings

Music-Cognition-Lab/SynPy3

Repository files navigation

SynPy3

This is an automated python2.7 to 3 conversion (using 2to3 module) of SynPy.

Please refer to the original repository: https://code.soundsoftware.ac.uk/projects/syncopation-dataset

Related publications

C. Song, M. Pearce, and C. Harte, SynPy: a python toolkit for syncopation modelling. Maynooth, Ireland, 2015. https://code.soundsoftware.ac.uk/attachments/download/1728/syncopation_toolkit.pdf

C. Song, C. Harte, M. Pearce, and M. Sandler, “Syncopation and score,” PLoS ONE , vol. 8, no. 9, p. e74692, Sep. 2013. http://dx.doi.org/10.1371/journal.pone.0074692

C. Song, “Syncopation: Unifying Music Theory and Perception,” PhD thesis, Queen Mary, University of London, 2015. https://code.soundsoftware.ac.uk/attachments/download/1557/csongthesis.pdf

About

Python3 auto port of toolkit for syncopation modelling (C. Song, M. Pearce & C. Harte)

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages