Music Genre Classification Based on Paraconsistency
| dc.contributor.author | Silva Paulo, Katia Cristina | |
| dc.contributor.author | Solgon Bassi, Regiane Denise | |
| dc.contributor.author | Delorme, Andre Luis | |
| dc.contributor.author | Guido, Rodrigo Capobianco [UNESP] | |
| dc.contributor.author | Silva, Ivan Nunes da | |
| dc.contributor.author | Anonymous | |
| dc.contributor.institution | Universidade de São Paulo (USP) | |
| dc.contributor.institution | Universidade Estadual Paulista (Unesp) | |
| dc.date.accessioned | 2018-11-26T22:51:57Z | |
| dc.date.available | 2018-11-26T22:51:57Z | |
| dc.date.issued | 2015-01-01 | |
| dc.description.abstract | 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. | en |
| dc.description.affiliation | Univ Sao Paulo, BR-13566590 Sao Paulo, Brazil | |
| dc.description.affiliation | Sao Paulo State Univ, BR-15040000 Sao Paulo, Brazil | |
| dc.description.affiliation | North Sao Paulo Univ, BR-15020040 Sao Paulo, Brazil | |
| dc.description.affiliationUnesp | Sao Paulo State Univ, BR-15040000 Sao Paulo, Brazil | |
| dc.format.extent | 427-431 | |
| dc.identifier.citation | 2nd International Conference On Advanced Education Technology And Management Science (aetms 2014). Lancaster: Destech Publications, Inc, p. 427-431, 2015. | |
| dc.identifier.lattes | 6542086226808067 | |
| dc.identifier.orcid | 0000-0002-0924-8024 | |
| dc.identifier.uri | http://hdl.handle.net/11449/164854 | |
| dc.identifier.wos | WOS:000352704700082 | |
| dc.language.iso | eng | |
| dc.publisher | Destech Publications, Inc | |
| dc.relation.ispartof | 2nd International Conference On Advanced Education Technology And Management Science (aetms 2014) | |
| dc.rights.accessRights | Acesso aberto | |
| dc.source | Web of Science | |
| dc.subject | Music genre classification | |
| dc.subject | Artificial intelligence | |
| dc.subject | Paraconsistent discriminating Machine (DPM) | |
| dc.subject | paraconsistency | |
| dc.title | Music Genre Classification Based on Paraconsistency | en |
| dc.type | Trabalho apresentado em evento | |
| dcterms.rightsHolder | Destech Publications, Inc | |
| unesp.author.lattes | 6542086226808067[4] | |
| unesp.author.orcid | 0000-0002-0924-8024[4] |