Paradigmatic analysis using genetic programming

Detalhes bibliográficos
Autor(a) principal: Grilo, Carlos Fernando Almeida
Data de Publicação: 2001
Outros Autores: Machado, Fernando, Cardoso, Fernando Amílcar Bandeira
Idioma: eng
Título da fonte: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Texto Completo: http://hdl.handle.net/10400.8/87
Resumo: 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.
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spelling Paradigmatic analysis using genetic programmingMusical pieceParadigmatic analysisGenetic programmingParadigmatic 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.Society for the Study of Artificial Intelligence and Simulation of BehaviourRepositório IC-OnlineGrilo, Carlos Fernando AlmeidaMachado, FernandoCardoso, Fernando Amílcar Bandeira2009-08-13T09:57:54Z20012001-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.8/87enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-25T15:13:58Zoai:iconline.ipleiria.pt:10400.8/87Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T20:53:06.066850Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Paradigmatic analysis using genetic programming
title Paradigmatic analysis using genetic programming
spellingShingle Paradigmatic analysis using genetic programming
Grilo, Carlos Fernando Almeida
Musical piece
Paradigmatic analysis
Genetic programming
title_short Paradigmatic analysis using genetic programming
title_full Paradigmatic analysis using genetic programming
title_fullStr Paradigmatic analysis using genetic programming
title_full_unstemmed Paradigmatic analysis using genetic programming
title_sort Paradigmatic analysis using genetic programming
author Grilo, Carlos Fernando Almeida
author_facet Grilo, Carlos Fernando Almeida
Machado, Fernando
Cardoso, Fernando Amílcar Bandeira
author_role author
author2 Machado, Fernando
Cardoso, Fernando Amílcar Bandeira
author2_role author
author
dc.contributor.none.fl_str_mv Repositório IC-Online
dc.contributor.author.fl_str_mv Grilo, Carlos Fernando Almeida
Machado, Fernando
Cardoso, Fernando Amílcar Bandeira
dc.subject.por.fl_str_mv Musical piece
Paradigmatic analysis
Genetic programming
topic Musical piece
Paradigmatic analysis
Genetic programming
description 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.
publishDate 2001
dc.date.none.fl_str_mv 2001
2001-01-01T00:00:00Z
2009-08-13T09:57:54Z
dc.type.driver.fl_str_mv conference object
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.8/87
url http://hdl.handle.net/10400.8/87
dc.language.iso.fl_str_mv eng
language eng
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Society for the Study of Artificial Intelligence and Simulation of Behaviour
publisher.none.fl_str_mv Society for the Study of Artificial Intelligence and Simulation of Behaviour
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia
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repository.mail.fl_str_mv info@rcaap.pt
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