Polyphonic musical sequence alignment for database search

Bryan A Pardo*, Manan Sanghi

*Corresponding author for this work

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

13 Scopus citations

Abstract

Finding the best matching database target to a melodic query has been of great interest in the music IR world. The string alignment paradigm works well for this task when comparing a monophonic query to a database of monophonic pieces. However, most tonal music is polyphonic, with multiple concurrent musical lines. Such pieces are not adequately represented as strings. Moreover, users often represent polyphonic pieces in their queries by skipping from one part (the soprano) to another (the bass). Current string matching approaches are not designed to handle this situation. This paper outlines approaches to extending string alignment that allow measuring similarity between a monophonic query and a polyphonic piece. These approaches are compared using synthetic queries on a database of Bach pieces. Results indicate that when a monophonic query is drawn from multiple parts in the target, a method which explicitly takes the multi-part structure of a piece into account significantly outperforms the one that does not.

Original languageEnglish (US)
Title of host publicationISMIR 2005 - 6th International Conference on Music Information Retrieval
Pages215-222
Number of pages8
StatePublished - Dec 1 2005
Event6th International Conference on Music Information Retrieval, ISMIR 2005 - London, United Kingdom
Duration: Sep 11 2005Sep 15 2005

Publication series

NameISMIR 2005 - 6th International Conference on Music Information Retrieval

Other

Other6th International Conference on Music Information Retrieval, ISMIR 2005
Country/TerritoryUnited Kingdom
CityLondon
Period9/11/059/15/05

ASJC Scopus subject areas

  • Music
  • Information Systems

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