SynPy Toolkit and Syncopation Perceptual Dataset

Overview

This repository shares a dataset including 111 rhythm stimuli and the corresponding perceptual ratings on the strength of syncopation. We also supply our implementation of seven existing syncopation models for reference.

Related publications

C. Song, C. Harte, M. Pearce, and M. Sandler, “Syncopation and score,” PLoS ONE , vol. 8, no. 9, p. e74692, Sep. 2013.: [More Details] [BIBT_EX] [URL (ext.)]; @article{chunyang2013a, author = {Chunyang Song and Christopher Harte and Marcus Pearce and Mark Sandler}, title = {Syncopation and score}, journal = {PLoS ONE }, month = {September}, number = {9}, pages = {e74692}, volume = {8}, year = {2013} }
C. Song, “Syncopation: Unifying Music Theory and Perception,” PhD thesis, Queen Mary, University of London, 2015.: [More Details] [BIBT_EX] [URL (ext.)]; @phdthesis{chunyang2015a, author = {Chunyang Song}, title = {Syncopation: Unifying Music Theory and Perception}, school = {Queen Mary, University of London}, year = {2015} }
C. Song, M. Pearce, and C. Harte, SynPy: a python toolkit for syncopation modelling. Maynooth, Ireland, 2015.: [More Details] [BIBT_EX] [URL (ext.)]; @proceedings{chunyang2015a, author = {Chunyang Song and Marcus Pearce and Christopher Harte}, title = {SynPy: a python toolkit for syncopation modelling}, address = {Maynooth, Ireland}, booktitle = {SMC}, year = {2015} }

Members

Manager: Christopher Harte, Chunyang Song, Marcus Pearce
Developer: Fei Sha