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Volumn , Issue , 2005, Pages 604-609

An investigation of feature models for music genre classification using the support vector classifier

Author keywords

Convolution kernel; Feature integration; Music genre; Product probability kernel; Support vector machine

Indexed keywords

CONVOLUTION KERNEL; DATA SET; DECISION TIME; FEATURE INTEGRATION; FEATURE MODELS; HUMAN PERFORMANCE; MEL FREQUENCY CEPSTRAL CO-EFFICIENT; MULTIVARIATE AUTOREGRESSIVE MODELS; MULTIVARIATE GAUSSIAN MODELS; MUSIC GENRE; MUSIC GENRE CLASSIFICATION; PRODUCT PROBABILITY KERNEL; SUPPORT VECTOR CLASSIFIERS; TIME FEATURES;

EID: 84873533162     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (48)

References (19)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.