Grouping recorded music by structural similarity

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

Abstract

This paper introduces a method for the organization of recorded music according to structural similarity. It uses the Normalized Compression Distance (NCD) to measure the pairwise similarity between songs, represented using beat-synchronous self-similarity matrices. The approach is evaluated on its ability to cluster a collection into groups of performances of the same musical work. Tests are aimed at finding the combination of system parameters that improve clustering, and at highlighting the benefits and shortcomings of the proposed method. Results show that structural similarities can be well characterized by this approach, given consistency in beat tracking and overall song structure.

Original languageEnglish (US)
Title of host publicationProceedings of the 10th International Society for Music Information Retrieval Conference, ISMIR 2009
Pages531-536
Number of pages6
StatePublished - 2009
Event10th International Society for Music Information Retrieval Conference, ISMIR 2009 - Kobe, Japan
Duration: Oct 26 2009Oct 30 2009

Publication series

NameProceedings of the 10th International Society for Music Information Retrieval Conference, ISMIR 2009

Other

Other10th International Society for Music Information Retrieval Conference, ISMIR 2009
CountryJapan
CityKobe
Period10/26/0910/30/09

ASJC Scopus subject areas

  • Music
  • Information Systems

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  • Cite this

    Bello, J. P. (2009). Grouping recorded music by structural similarity. In Proceedings of the 10th International Society for Music Information Retrieval Conference, ISMIR 2009 (pp. 531-536). (Proceedings of the 10th International Society for Music Information Retrieval Conference, ISMIR 2009).