Please use this identifier to cite or link to this item:
Title: Musical pattern extraction using genetic algorithms
Authors: Grilo, Carlos Fernando Almeida
Cardoso, Fernando Amílcar Bandeira
Keywords: Musical piece
Musical pattern
Genetic algorithms
Issue Date: 2003
Publisher: Springer
Citation: GRILO, Carlos; CARDOSO, Amilcar - Musical pattern extraction using genetic algorithms. First International Symposium on Computer Music Modelling and Retrieval. Montpellier: Springer, 2003. p. 114-123.
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.
ISBN: 3-540-20922-0
Appears in Collections:Comunicações em conferências e congressos internacionais

Files in This Item:
File Description SizeFormat 
CMMR2003.pdf253,02 kBAdobe PDFView/Open

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Degois 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.