Publication
Musical pattern extraction using genetic algorithms
dc.contributor.author | Grilo, Carlos Fernando Almeida | |
dc.contributor.author | Cardoso, Fernando Amílcar Bandeira | |
dc.date.accessioned | 2009-08-13T10:13:35Z | |
dc.date.available | 2009-08-13T10:13:35Z | |
dc.date.issued | 2003 | |
dc.description.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. | pt |
dc.identifier.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. | pt |
dc.identifier.isbn | 3-540-20922-0 | |
dc.identifier.uri | http://hdl.handle.net/10400.8/89 | |
dc.language.iso | eng | pt |
dc.publisher | Springer | pt |
dc.subject | Musical piece | pt |
dc.subject | Musical pattern | pt |
dc.subject | Genetic algorithms | pt |
dc.title | Musical pattern extraction using genetic algorithms | pt |
dc.type | conference object | |
dspace.entity.type | Publication | |
oaire.citation.conferencePlace | Montpellier | pt |
oaire.citation.endPage | 123 | pt |
oaire.citation.startPage | 114 | pt |
oaire.citation.title | First International Symposium on Computer Music Modelling and Retrieval | pt |
person.familyName | Grilo | |
person.givenName | Carlos | |
person.identifier.ciencia-id | 081D-025A-33BC | |
person.identifier.orcid | 0000-0001-9727-905X | |
person.identifier.rid | M-9551-2013 | |
person.identifier.scopus-author-id | 23466972200 | |
rcaap.rights | openAccess | |
rcaap.type | conferenceObject | pt |
relation.isAuthorOfPublication | f2075503-40b3-49da-81c3-e0c50f97c9ab | |
relation.isAuthorOfPublication.latestForDiscovery | f2075503-40b3-49da-81c3-e0c50f97c9ab |