Music genre classification using modulation spectral features and multiple prototype vectors representation

Proceedings - 4th International Congress on Image and Signal Processing, CISP 2011

Volumn 5, Issue , 2011, Pages 2762-2766

  Lee, Chang Hsing ^a   Chou, Chih Hsun ^a   Lien, Cheng Chang ^a   Fang, Jen Cheng ^a  

^a CHUNG HUA UNIVERSITY   (Taiwan)

Author keywords

Mel frequency cepstral coefficients; modulation spectral analysis; music genre classification; normalized audio spectrum envelope; octave based spectral contrast

Indexed keywords

AUDIO SPECTRUM; C-MEANS CLUSTERING ALGORITHM; CEPSTRAL; CLASSIFICATION ACCURACY; COMBINATION METHOD; DATA SETS; DECISION LEVELS; EXPERIMENTAL SETUP; FEATURE LEVEL FUSION; FEATURE VECTORS; MEL-FREQUENCY CEPSTRAL COEFFICIENTS; MODULATION SPECTRUM; MUSIC GENRE; MUSIC GENRE CLASSIFICATION; OCTAVE-BASED SPECTRAL CONTRAST; PROTOTYPE VECTORS; SPECTRAL ENERGY; SPECTRAL FEATURE; SPECTRAL FLATNESS; SPECTROGRAMS; SUB-BANDS;

CLASSIFICATION (OF INFORMATION); CLUSTERING ALGORITHMS; MOTION PICTURE EXPERTS GROUP STANDARDS; SPECTRUM ANALYSIS; SPEECH RECOGNITION;

MODULATION;

EID: 84862961332     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2011.6100759     Document Type: Conference Paper

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