A dynamic programming approach to the extraction of phrase boundaries from tempo variations in expressive performances

Ching Hua Chuan, Elaine Chew

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

6 Scopus citations

Abstract

We present an approach to phrase segmentation that starts with an expressive music performance. Previous research has shown that phrases are delineated by tempo speedups and slowdowns. We propose a dynamic programming algorithm for extracting phrases from tempo information. We test two hypotheses formodeling phrase tempo shapes: a quadratic model, and a spline curve. We test the two models on phrase extraction from performances of entire classical romantic pieces namely, Chopin's Preludes Nos. 1 and 7. The algorithms determined 21 of the 26 phrase boundaries correctly from Arthur Rubinstein's and Evgeny Kissin's performances. We observe that not all tempo slowdowns signify a boundary (some are agogic accents), and multiple levels of phrasing strategies should be considered for detailed interpretation analyses.

Original languageEnglish (US)
Title of host publicationProceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007
Pages305-308
Number of pages4
StatePublished - Dec 1 2007
Externally publishedYes
Event8th International Conference on Music Information Retrieval, ISMIR 2007 - Vienna, Austria
Duration: Sep 23 2007Sep 27 2007

Publication series

NameProceedings of the 8th International Conference on Music Information Retrieval, ISMIR 2007

Other

Other8th International Conference on Music Information Retrieval, ISMIR 2007
CountryAustria
CityVienna
Period9/23/079/27/07

ASJC Scopus subject areas

  • Music
  • Information Systems

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