Measuring musical rhythm similarity

Statistical features versus transformation methods

J. F. Beltran, X. Liu, N. Mohanchandra, Godfried Toussaint

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    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.

    Original languageEnglish (US)
    Title of host publicationICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods
    Pages595-598
    Number of pages4
    StatePublished - May 27 2013
    Event2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013 - Barcelona, Spain
    Duration: Feb 15 2013Feb 18 2013

    Other

    Other2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013
    CountrySpain
    CityBarcelona
    Period2/15/132/18/13

    Keywords

    • Edit distance
    • Inter-onset interval histograms
    • Mallows distance
    • Mantel test
    • Music information retrieval
    • Musical rhythm
    • Pattern recognition
    • Similarity measures
    • Statistical features
    • Transformations

    ASJC Scopus subject areas

    • Computer Vision and Pattern Recognition

    Cite this

    Beltran, J. F., Liu, X., Mohanchandra, N., & Toussaint, G. (2013). Measuring musical rhythm similarity: Statistical features versus transformation methods. In ICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (pp. 595-598)

    Measuring musical rhythm similarity : Statistical features versus transformation methods. / Beltran, J. F.; Liu, X.; Mohanchandra, N.; Toussaint, Godfried.

    ICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods. 2013. p. 595-598.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Beltran, JF, Liu, X, Mohanchandra, N & Toussaint, G 2013, Measuring musical rhythm similarity: Statistical features versus transformation methods. in ICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods. pp. 595-598, 2nd International Conference on Pattern Recognition Applications and Methods, ICPRAM 2013, Barcelona, Spain, 2/15/13.
    Beltran JF, Liu X, Mohanchandra N, Toussaint G. Measuring musical rhythm similarity: Statistical features versus transformation methods. In ICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods. 2013. p. 595-598
    Beltran, J. F. ; Liu, X. ; Mohanchandra, N. ; Toussaint, Godfried. / Measuring musical rhythm similarity : Statistical features versus transformation methods. ICPRAM 2013 - Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods. 2013. pp. 595-598
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