PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A cooperative approach to style-oriented music composition
David Espí, Pedro J. Ponce de León, Carlos Pérez-Sancho, David Rizo, José Iñesta, Francisco Moreno-Seco and Antonio Pertusa
In: Workshop on Artificial Intelligence and Music, MUSIC-AI, 6-12 Dec 2007, Hyderabad, India.

Abstract

Evolutionary methods have been largely used in algorithmic music composition due to their ability to explore an immense space of possibilities. The main problem of genetic related composition algorithms has always been the implementation of the selection process. In this work, a pattern recognition-based system helped by a number of music analysis rules is designed for that task. The fitness value provided by this kind of supervisor (the music “critic”) models the affect for a certain music genre after a training phase. The early stages of this work have been encouraging since they have responded to the a priori expectations and more work has to be carried out in the future to explore the creative capabilities of the proposed system.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Computational, Information-Theoretic Learning with Statistics
ID Code:5786
Deposited By:Carlos Pérez-Sancho
Deposited On:08 March 2010