Beyond error tolerance: finding thematic similarities in music digital libraries

Authors:
Tamar Berman;J. Stephen Downie;Bart Berman
Affiliations:
Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, Champaign, IL;Graduate School of Library and Information Science, University of Illinois at Urbana-Champaign, Champaign, IL;Independent Researcher, Tel Mond, Israel
Venue:
ECDL'06 Proceedings of the 10th European conference on Research and Advanced Technology for Digital Libraries
Year:
2006

Citing 2
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Abstract

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.