Publicação: Music Genre Classification Based on Paraconsistency
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Data
2015-01-01
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Pós-graduação
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Editor
Destech Publications, Inc
Tipo
Trabalho apresentado em evento
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Acesso aberto
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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Inglês
Como citar
2nd International Conference On Advanced Education Technology And Management Science (aetms 2014). Lancaster: Destech Publications, Inc, p. 427-431, 2015.
