Beyond Error Tolerance: Finding Thematic Similarities in Music Digital Libraries

  • Tamar Berman
  • J. Stephen Downie
  • Bart Berman
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4172)


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.


User Error Music Information Retrieval Musical Event Good Performance Result Pitch Class 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Tamar Berman
    • 1
  • J. Stephen Downie
    • 1
  • Bart Berman
    • 2
  1. 1.Graduate School of Library and Information ScienceUniversity of Illinois at Urbana-ChampaignChampaignUSA
  2. 2.Independent ResearcherTel MondIsrael

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