Beyond error tolerance: Finding thematic similarities in music digital libraries

Tamar Berman, J. Stephen Downie, Bart Berman

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


Current Music Information Retrieval (MIR) systems focus on melody based retrieval with some tolerance for user errors in the melody specification. The system described here presents a novel method for theme retrieval: A theme is described as a list of musical events, containing melody and harmony features, which must be presented in a given order and within a given time frame. The system retrieves musical phrases that fit the description. A system of this type could serve musicians and listeners who wish to discover thematically similar phrases in music digital libraries. The prototype and underlying model have been tested on midi sequences of music by W.A. Mozart and have shown good performance results.

Original languageEnglish (US)
Title of host publication2nd International Workshop on Parameterized and Exact Computation, IWPEC 2006
Number of pages4
ISBN (Print)3540446362, 9783540446361
StatePublished - Jan 1 2006
Event10th European Conference on Digital Libraries, ECDL 2006 - Alicante, Spain
Duration: Sep 17 2006Sep 22 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4172 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other10th European Conference on Digital Libraries, ECDL 2006

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


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