Interrogating Statistical Models of Music Perception

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Title Interrogating Statistical Models of Music Perception
Author Brown, Andrew Robert; Gifford, Toby
Publication Title Proceedings of the 11th International Conference on Music Perception and Cognition
Editor Steven M. Demorest, Steven J. Morrison & Patricia S. Campbell
Year Published 2010
Abstract We have developed a new experimental method for interrogating statistical theories of music perception by implementing these theories as generative music algorithms. We call this method Generation in Context. This method differs from most experimental techniques in music perception in that it incorporates aesthetic judgments. Generation In Context is designed to measure percepts for which the musical context is suspected to play an important role. In particular the method is suitable for the study of perceptual parameters which are temporally dynamic. We outline a use of this approach to investigate David Temperley's (2007) probabilistic melody model, and provide some provisional insights as to what is revealed about the model. We suggest that Temperley's model could be improved by dynamically modulating the probability distributions according to the changing musical context.
Peer Reviewed Yes
Published Yes
Publisher URI http://depts.washington.edu/icmpc11/
ISBN 1876346620
Conference name 11th International Conference on Music Perception and Cognition
Location Seattle, USA
Date From 2010-08-23
Date To 2011-08-27
URI http://hdl.handle.net/10072/40403
Date Accessioned 2011-08-09
Date Available 2011-08-26T09:01:31Z
Language en_AU
Research Centre Queensland Conservatorium Research Centre; Centre for Creative Arts Research
Faculty Queensland Conservatorium
Subject Music Composition
WWW reference http://depts.washington.edu/icmpc11/
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1x

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