Collins, Tom; Laney, Robin; Willis, Alistair and Garthwaite, Paul
(2011).
| DOI (Digital Object Identifier) Link: | http://dx.doi.org/doi:10.1525/mp.2011.28.4.387 |
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| Google Scholar: | Look up in Google Scholar |
Abstract
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 Article |
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| 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/Department: | Mathematics, Computing and Technology > Computing Mathematics, Computing and Technology > Mathematics and Statistics |
| Interdisciplinary Research Centre: | Centre for Research in Computing (CRC) |
| Related URLs: | |
| Item ID: | 24818 |
| Depositing User: | Tom Collins |
| Date Deposited: | 25 Mar 2011 11:03 |
| Last Modified: | 13 Feb 2013 10:53 |
| URI: | http://oro.open.ac.uk/id/eprint/24818 |
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