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Rhythmic similarity of music based on dynamic periodicity warping
Institute of Computer Science, FORTH, Greece ; Multimedia Informatics Lab, Computer Science Department, University of Crete. (Sound and Music Computing)ORCID iD: 0000-0003-1679-6018
Institute of Computer Science, FORTH, Greece ; Multimedia Informatics Lab, Computer Science Department, University of Crete.
2008 (English)Conference paper, Published paper (Refereed)
Abstract [en]

This paper introduces a new way to measure rhythmic similarity between two musical pieces using periodicity spectra. In order to detect similarity for pieces of different tempi, the linearity of the warping path between their spectra serves as a measure of their rhythmic similarity. Using a modified kNN classification approach on two datasets, the proposed measure provides comparable classification accuracy (82.1%) to the best of widely used measures (85.5%) for the first dataset; For the second dataset, which is characterized by a large variance of tempi, the proposed measure outperforms all reference measures, reaching an accuracy of 69.0%, while the best of the other measures reaches 53.8%. Moreover, the presented technique works fully automatically, and no information regarding tempo is needed.

Place, publisher, year, edition, pages
2008.
National Category
Signal Processing
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-241438DOI: 10.1109/ICASSP.2008.4518085ISI: 000257456701216Scopus ID: 2-s2.0-51449098969OAI: oai:DiVA.org:kth-241438DiVA, id: diva2:1281381
Conference
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
Note

QC 20190122

Available from: 2019-01-22 Created: 2019-01-22 Last updated: 2019-01-22Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf