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Title: Paradigmatic analysis using genetic programming
Author: Grilo, Carlos Fernando Almeida
Machado, Fernando
Cardoso, Fernando Amílcar Bandeira
Keywords: Musical piece
Paradigmatic analysis
Genetic programming
Issue Date: 2001
Publisher: Society for the Study of Artificial Intelligence and Simulation of Behaviour
Citation: GRILO, Carlos; MACHADO, Fernando; CARDOSO, Amilcar - Paradigmatic analysis using genetic programming. In: Proceddings of AISB' 2001, Symposium on Artificial Intelligence and Creativity in Arts and Science. York: SSAISB, 2001.
Abstract: Paradigmatic analysis consists in the segmentation of a musical piece through the identification of relations between different parts of the piece, and the classification of the identified segments into categories. In this paper we describe how a genetic programming system can be used to make the paradigmatic analysis of monophonic musical pieces, using a simple fitness function inspired in the Kolmogorov complexity estimation. We make use of automatically defined functions in order to represent segments. Relations are made explicit through the reuse of segments and the application of transformations to these segments.
Appears in Collections:Comunicações em conferências e congressos internacionais

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