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An evolutionary approach to algorithmic composition

Published online by Cambridge University Press:  11 January 2001

JONTAS MANZOLLI
Affiliation:
Interdisciplinary Nucleus of Sound Communication (UNICAMP/NICS), University of Campinas, Rua da Reitoria, 165-13081-970, Campinas SP, Brazil jonatas@nics.unicamp.br
ARTEMIS MORONI
Affiliation:
The Automation Institute (CTI/IA), Technological Center for Informatics, Via Dom Pedro I, KM143/6, Campinas SP, Brazil artemis@ia.cti.br
FERNANDO VON ZUBENS
Affiliation:
Interdisciplinary Nucleus of Sound Communication (UNICAMP/NICS), University of Campinas, Rua da Reitoria, 165-13081-970, Campinas SP, Brazil jonatas@nics.unicamp.br
RICARDO GUDWIN
Affiliation:
The Automation Institute (CTI/IA), Technological Center for Informatics, Via Dom Pedro I, KM143/6, Campinas SP, Brazil artemis@ia.cti.br

Abstract

This paper presents an end-user interface that allows realtime parametriccontrol of sound events resulting in an interactive environment, in whichevolutionary computation is applied to algorithmic composition. Theresulting system, Vox Populi, uses genetic algorithms to generate andevaluate a sequence of chords played as MIDI data. Harmonic, tonal andvoice range fitness are used to control musical features. Based on theordering of consonance of musical intervals, the notion of approximatinga sequence of notes to its harmonically compatible note or tonal centreis used. This method employs fuzzy formalism and is posited as anoptimisation approach based on factors relevant to hearing music.

Information

Type
Research Article
Copyright
© 1999 Cambridge University Press

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