Measuring Musical Rhythm Similarity - Statistical Features versus Transformation Methods

Juan Felipe Beltran, Xiaohua Liu, Nishant Mohanchandra, Godfried Toussaint

Abstract

Two approaches to measuring the similarity between symbolically notated musical rhythms are compared with human judgments of perceived similarity. The first is the edit-distance, a popular transformation method, applied to the rhythm sequences. The second works on the histograms of the inter-onset-intervals (IOIs) of these rhythm sequences. Furthermore, two methods of dealing with the histograms are also compared: the Mallows distance, and the employment of a group of standard statistical features. The results provide further evidence from the aural domain, that transformation methods are superior to feature-based methods for predicting human judgments of similarity. Furthermore, the results also support the hypothesis that statistical features applied to the histograms of the rhythms are better than music-theoretical structural features applied to the rhythms themselves.

References

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Paper Citation


in Harvard Style

Beltran J., Liu X., Mohanchandra N. and Toussaint G. (2013). Measuring Musical Rhythm Similarity - Statistical Features versus Transformation Methods . In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM, ISBN 978-989-8565-41-9, pages 595-598. DOI: 10.5220/0004325505950598


in Bibtex Style

@conference{icpram13,
author={Juan Felipe Beltran and Xiaohua Liu and Nishant Mohanchandra and Godfried Toussaint},
title={Measuring Musical Rhythm Similarity - Statistical Features versus Transformation Methods},
booktitle={Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
year={2013},
pages={595-598},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004325505950598},
isbn={978-989-8565-41-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,
TI - Measuring Musical Rhythm Similarity - Statistical Features versus Transformation Methods
SN - 978-989-8565-41-9
AU - Beltran J.
AU - Liu X.
AU - Mohanchandra N.
AU - Toussaint G.
PY - 2013
SP - 595
EP - 598
DO - 10.5220/0004325505950598