Please use this identifier to cite or link to this item:
https://hdl.handle.net/10316/27746
Title: | Musical pattern extraction using genetic algorithms | Authors: | Grilo, Carlos Cardoso, Amílcar |
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: | https://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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Musical Pattern Extraction Using Genetic Algorithms.pdf | 253.02 kB | Adobe PDF | View/Open |
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