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Authors: Juan Felipe Beltran 1 ; Xiaohua Liu 1 ; Nishant Mohanchandra 2 and Godfried Toussaint 2

Affiliations: 1 New York University Abu Dhabi - Faculty of Science, United Arab Emirates ; 2 New York University Abu Dhabi, United Arab Emirates

Keyword(s): Musical Rhythm, Similarity Measures, Transformations, Inter-Onset Interval Histograms, Mallows Distance, Edit Distance, Statistical Features, Pattern Recognition, Music Information Retrieval, Mantel Test.

Related Ontology Subjects/Areas/Topics: Applications ; Audio and Speech Processing ; Data Engineering ; Digital Signal Processing ; Information Retrieval ; Multimedia ; Multimedia Signal Processing ; Ontologies and the Semantic Web ; Pattern Recognition ; Perception ; Software Engineering ; Telecommunications

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.

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Paper citation in several formats:
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 - ICPRAM; ISBN 978-989-8565-41-9; ISSN 2184-4313, SciTePress, pages 595-598. DOI: 10.5220/0004325505950598

@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 - ICPRAM},
year={2013},
pages={595-598},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004325505950598},
isbn={978-989-8565-41-9},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Measuring Musical Rhythm Similarity - Statistical Features versus Transformation Methods
SN - 978-989-8565-41-9
IS - 2184-4313
AU - Beltran, J.
AU - Liu, X.
AU - Mohanchandra, N.
AU - Toussaint, G.
PY - 2013
SP - 595
EP - 598
DO - 10.5220/0004325505950598
PB - SciTePress