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Modeling pattern importance in Chopin's mazurkas

Collins, Tom; Laney, Robin; Willis, Alistair and Garthwaite, Paul (2011). Modeling pattern importance in Chopin's mazurkas. Music Perception: An Interdisciplinary Journal, 28(4) pp. 387–414.

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This study relates various quantifiable characteristics of a musical pattern to subjective assessments of a pattern's salience. Via score analysis and listening, twelve music undergraduates examined excerpts taken from Chopin's mazurkas. They were instructed to rate already-discovered patterns, giving high ratings to patterns that they thought were noticeable and/or important. Each undergraduate rated thirty specified patterns and ninety patterns were examined in total. Twenty-nine quantifiable attributes (some novel but most proposed previously) were determined for each pattern, such as the number of notes a pattern contained. A model useful for relating participants' ratings to the attributes was determined using variable selection and cross-validation. Individual participants were much poorer than the model at predicting the consensus ratings of other participants. While the favoured model contains only three variables, many variables were identified as having some predictive value if considered in isolation. Implications for music psychology, analysis, and information retrieval are discussed.

Item Type: Journal Item
Copyright Holders: 2011 by the Regents of the University of California
ISSN: 1533-8312
Keywords: pattern discovery; rating; music analysis; linear regression model; translation
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Mathematics and Statistics
Research Group: Centre for Research in Computing (CRC)
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Item ID: 24818
Depositing User: Tom Collins
Date Deposited: 25 Mar 2011 11:03
Last Modified: 07 Dec 2018 09:44
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