Principal Comentários Entrar
Advanced Search  

IC-online >
Comunicações em conferências e congressos internacionais >

Please use this identifier to cite or link to this item:

Título: Musical pattern extraction using genetic algorithms
Autor: Grilo, Carlos Fernando Almeida
Cardoso, Fernando Amílcar Bandeira
Palavras-chave: Musical piece
Musical pattern
Genetic algorithms
Issue Date: 2003
Editora: Springer
Citação: 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.
Resumo: 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

Please give feedback about this item
FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Logotipo do DeGóis 

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


© 2007-2009 Instituto Politécnico de Leiria - Feedback - Statistics
Promotores do RCAAP   Financiadores do RCAAP

Fundação para a Ciência e a Tecnologia Universidade do Minho   Governo Português Ministério da Educação e Ciência PO Sociedade do Conhecimento (POSC) Portal oficial da União Europeia