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Musical pattern extraction using genetic algorithms

dc.contributor.authorGrilo, Carlos Fernando Almeida
dc.contributor.authorCardoso, Fernando Amílcar Bandeira
dc.date.accessioned2009-08-13T10:13:35Z
dc.date.available2009-08-13T10:13:35Z
dc.date.issued2003
dc.description.abstractThis 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.pt
dc.identifier.citationGRILO, Carlos; CARDOSO, Amilcar - Musical pattern extraction using genetic algorithms. First International Symposium on Computer Music Modelling and Retrieval. Montpellier: Springer, 2003. p. 114-123.pt
dc.identifier.isbn3-540-20922-0
dc.identifier.urihttp://hdl.handle.net/10400.8/89
dc.language.isoengpt
dc.publisherSpringerpt
dc.subjectMusical piecept
dc.subjectMusical patternpt
dc.subjectGenetic algorithmspt
dc.titleMusical pattern extraction using genetic algorithmspt
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceMontpellierpt
oaire.citation.endPage123pt
oaire.citation.startPage114pt
oaire.citation.titleFirst International Symposium on Computer Music Modelling and Retrievalpt
person.familyNameGrilo
person.givenNameCarlos
person.identifier.ciencia-id081D-025A-33BC
person.identifier.orcid0000-0001-9727-905X
person.identifier.ridM-9551-2013
person.identifier.scopus-author-id23466972200
rcaap.rightsopenAccess
rcaap.typeconferenceObjectpt
relation.isAuthorOfPublicationf2075503-40b3-49da-81c3-e0c50f97c9ab
relation.isAuthorOfPublication.latestForDiscoveryf2075503-40b3-49da-81c3-e0c50f97c9ab

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