Please use this identifier to cite or link to this item: http://hdl.handle.net/10316/27746
Title: Musical pattern extraction using genetic algorithms
Authors: Grilo, Carlos 
Cardoso, Amilcar 
Keywords: Genetic algorithms; Musical pattern; Musical piece
Issue Date: 2003
Publisher: Springer
Citation: GRILO, Carlos; CARDOSO, Amílcar - Musical Pattern Extraction Using Genetic Algorithms. In WIIL, Uffe Kock, ed. lit. - Computer Music Modeling and Retrieval. Rhode Island: Springer, 2003. ISBN 978-3-540-20922-5. Vol. 2771 p. 114-123
Serial title, monograph or event: Computer Music Modeling and Retrieval
Volume: 2771
Abstract: This paper describes a research work in which we study the possibility of applying genetic algorithms to the extraction of musical patterns in monophonic musical pieces. Each individual in the population represents a possible segmentation of the piece being analysed. The goal is to find a segmentation that allows the identification of the most significant patterns of the piece. In order to calculate an individual’s fitness, all its segments are compared among each other. The bigger the area occupied by similar segments the better the quality of the segmentation.
URI: http://hdl.handle.net/10316/27746
ISBN: 978-3-540-20922-5
DOI: 10.1007/978-3-540-39900-1_12
Rights: openAccess
Appears in Collections:I&D CISUC - Artigos em Livros de Actas

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