Music Genre Classification Based on Paraconsistency

Detalhes bibliográficos
Autor(a) principal: Silva Paulo, Katia Cristina
Data de Publicação: 2015
Outros Autores: Solgon Bassi, Regiane Denise, Delorme, Andre Luis, Guido, Rodrigo Capobianco [UNESP], Silva, Ivan Nunes da, Anonymous
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://hdl.handle.net/11449/164854
Resumo: This work aims to build an intelligent system for Music Genre Classification (MGC) based on Para-consistent Annotated Logic (LPA). Using a database composed of representative samples of songs from different styles, namely jazz, bolero, bossa nova, forro, salsa, and swing, as well as a paraconsistent discriminative classifier, a supervised approach was developed to solve the problem. Particularly, the proposed system does not necessarily match songs and genres definitely. Instead, it quantifies the degree of similarity between them.
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spelling Music Genre Classification Based on ParaconsistencyMusic genre classificationArtificial intelligenceParaconsistent discriminating Machine (DPM)paraconsistencyThis work aims to build an intelligent system for Music Genre Classification (MGC) based on Para-consistent Annotated Logic (LPA). Using a database composed of representative samples of songs from different styles, namely jazz, bolero, bossa nova, forro, salsa, and swing, as well as a paraconsistent discriminative classifier, a supervised approach was developed to solve the problem. Particularly, the proposed system does not necessarily match songs and genres definitely. Instead, it quantifies the degree of similarity between them.Univ Sao Paulo, BR-13566590 Sao Paulo, BrazilSao Paulo State Univ, BR-15040000 Sao Paulo, BrazilNorth Sao Paulo Univ, BR-15020040 Sao Paulo, BrazilSao Paulo State Univ, BR-15040000 Sao Paulo, BrazilDestech Publications, IncUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)Silva Paulo, Katia CristinaSolgon Bassi, Regiane DeniseDelorme, Andre LuisGuido, Rodrigo Capobianco [UNESP]Silva, Ivan Nunes daAnonymous2018-11-26T22:51:57Z2018-11-26T22:51:57Z2015-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject427-4312nd International Conference On Advanced Education Technology And Management Science (aetms 2014). Lancaster: Destech Publications, Inc, p. 427-431, 2015.http://hdl.handle.net/11449/164854WOS:00035270470008265420862268080670000-0002-0924-8024Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPeng2nd International Conference On Advanced Education Technology And Management Science (aetms 2014)info:eu-repo/semantics/openAccess2021-10-23T02:05:42Zoai:repositorio.unesp.br:11449/164854Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T20:05:23.420204Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Music Genre Classification Based on Paraconsistency
title Music Genre Classification Based on Paraconsistency
spellingShingle Music Genre Classification Based on Paraconsistency
Silva Paulo, Katia Cristina
Music genre classification
Artificial intelligence
Paraconsistent discriminating Machine (DPM)
paraconsistency
title_short Music Genre Classification Based on Paraconsistency
title_full Music Genre Classification Based on Paraconsistency
title_fullStr Music Genre Classification Based on Paraconsistency
title_full_unstemmed Music Genre Classification Based on Paraconsistency
title_sort Music Genre Classification Based on Paraconsistency
author Silva Paulo, Katia Cristina
author_facet Silva Paulo, Katia Cristina
Solgon Bassi, Regiane Denise
Delorme, Andre Luis
Guido, Rodrigo Capobianco [UNESP]
Silva, Ivan Nunes da
Anonymous
author_role author
author2 Solgon Bassi, Regiane Denise
Delorme, Andre Luis
Guido, Rodrigo Capobianco [UNESP]
Silva, Ivan Nunes da
Anonymous
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Silva Paulo, Katia Cristina
Solgon Bassi, Regiane Denise
Delorme, Andre Luis
Guido, Rodrigo Capobianco [UNESP]
Silva, Ivan Nunes da
Anonymous
dc.subject.por.fl_str_mv Music genre classification
Artificial intelligence
Paraconsistent discriminating Machine (DPM)
paraconsistency
topic Music genre classification
Artificial intelligence
Paraconsistent discriminating Machine (DPM)
paraconsistency
description This work aims to build an intelligent system for Music Genre Classification (MGC) based on Para-consistent Annotated Logic (LPA). Using a database composed of representative samples of songs from different styles, namely jazz, bolero, bossa nova, forro, salsa, and swing, as well as a paraconsistent discriminative classifier, a supervised approach was developed to solve the problem. Particularly, the proposed system does not necessarily match songs and genres definitely. Instead, it quantifies the degree of similarity between them.
publishDate 2015
dc.date.none.fl_str_mv 2015-01-01
2018-11-26T22:51:57Z
2018-11-26T22:51:57Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv 2nd International Conference On Advanced Education Technology And Management Science (aetms 2014). Lancaster: Destech Publications, Inc, p. 427-431, 2015.
http://hdl.handle.net/11449/164854
WOS:000352704700082
6542086226808067
0000-0002-0924-8024
identifier_str_mv 2nd International Conference On Advanced Education Technology And Management Science (aetms 2014). Lancaster: Destech Publications, Inc, p. 427-431, 2015.
WOS:000352704700082
6542086226808067
0000-0002-0924-8024
url http://hdl.handle.net/11449/164854
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2nd International Conference On Advanced Education Technology And Management Science (aetms 2014)
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 427-431
dc.publisher.none.fl_str_mv Destech Publications, Inc
publisher.none.fl_str_mv Destech Publications, Inc
dc.source.none.fl_str_mv Web of Science
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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