A feature selection approach for automatic music genre classification

International Journal of Semantic Computing

Volumn 3, Issue 2, 2009, Pages 183-208

  Silla, Carlos N ^a   Koerich, Alessandro L ^b   Kaestner, Celso A A ^c  

^a UNIVERSITY OF KENT   (United Kingdom)

^b PONTIFICAL CATHOLIC UNIVERSITY OF PARANÁ   (Brazil)

^c UNIVERSIDADE TECNOLÓGICA FEDERAL DO PARANÁ   (Brazil)

Author keywords

audio processing; feature selection; Music classification

Indexed keywords

AUDIO ACOUSTICS; DATABASE SYSTEMS; ECONOMIC AND SOCIAL EFFECTS; FEATURE EXTRACTION; FREQUENCY DOMAIN ANALYSIS; GENETIC ALGORITHMS; GRAPHIC METHODS; SIGNAL PROCESSING; TIME DOMAIN ANALYSIS; VECTOR SPACES; VECTORS;

AUDIO PROCESSING; CLASSIFICATION ACCURACY; DISCRIMINATIVE FEATURES; HIGH DIMENSIONAL FEATURE; MEL FREQUENCY CEPSTRAL CO-EFFICIENT; MUSIC CLASSIFICATION; MUSIC GENRE CLASSIFICATION; SHORT TIME FOURIER TRANSFORMS;

CLASSIFICATION (OF INFORMATION);

EID: 84862290945     PISSN: 1793351X     EISSN: 17937108     Source Type: Journal    
DOI: 10.1142/S1793351X09000719     Document Type: Article

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