A structurally guided method for the decomposition of expression in music performance
Publication year
2006Number of pages
12 p.
Source
The Journal of the Acoustical Society of America, 119, 2, (2006), pp. 1182-1193ISSN
Publication type
Article / Letter to editor

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Organization
FSW_PSY_NICI
SW OZ DCC AI
Former Organization
SW OZ NICI CO
Journal title
The Journal of the Acoustical Society of America
Volume
vol. 119
Issue
iss. 2
Page start
p. 1182
Page end
p. 1193
Subject
Cognitive artificial intelligenceAbstract
A method for separating, profiling, and quantifying the contributions of different structural components to expressive musical performance is described. The method is demonstrated through its application to a set of expert piano performances of a short piece from the classical period. The results show that the output of the method aids in the understanding of how the different structural components in a piece of music combine in the geneation of an expressive performance. A second demonstration applies the method of performances at different tempi to illustrate its effectiveness in pinpointing the structural features responsible for small but statistically differences between performances. The method is compared with other approaches to the analysis and modeling of musical performance, and a number of potential applications are identified;
This item appears in the following Collection(s)
- Academic publications [202736]
- Electronic publications [100858]
- Faculty of Social Sciences [27093]
- Open Access publications [69574]
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