Classifying and generalizing successful parameter combinations for sound design

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Title:	Classifying and generalizing successful parameter combinations for sound design
Author:	Paz, Iván; Nebot Castells, M. Àngela; Múgica Álvarez, Francisco; Romero Merino, Enrique
Other authors:	Universitat Politècnica de Catalunya. Departament de Ciències de la Computació
Abstract:	Operating parametric systems in the context of sound design imposes cognitive and practical challenges. The present contribution applies rule extraction to analyze and to generalize a set of parameter combinations, which have been preselected by a user since they produce sound results within a desired perceptual category. Then, it is discussed how and under which conditions these generalizations can be used, for example, for the automation of specific tasks.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial -Computer composition (Music) -Musical analysis -- Data processing -Rule extraction -Sound design -Parametric systems -Generalizing data sets -Composició musical per ordinador -Anàlisi musical -- Processament de dades
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Document type:	Article - Submitted version Book Part
Published by:	IOS Press
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