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Volumn 5, Issue , 2008, Pages 580-583

Music genre classification based on multiple classifier fusion

Author keywords

Classifier fusion; Multilayer perceptron neural network; Music genres classification; Random forest

Indexed keywords

CLASSIFIERS; ELECTRIC LOADS; INFORMATION FUSION; LEARNING SYSTEMS; MOTION PICTURE EXPERTS GROUP STANDARDS; MULTILAYERS; RANDOM PROCESSES; STRUCTURES (BUILT OBJECTS);

EID: 57649235382     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2008.815     Document Type: Conference Paper
Times cited : (11)

References (12)
  • 3
    • 34547514190 scopus 로고    scopus 로고
    • A Statistical Approach To Musical Genre Classification Using Non-negative Matrix Factorization
    • A. Holzapfel and Y. Stylianou, "A Statistical Approach To Musical Genre Classification Using Non-negative Matrix Factorization", in Proceedings ICASSP, 2007.
    • (2007) Proceedings ICASSP
    • Holzapfel, A.1    Stylianou, Y.2
  • 4
    • 85032752479 scopus 로고    scopus 로고
    • Automatic genre classification of music content: A survey
    • N. Scaringella, G. Zoia, and D. Mlynek, "Automatic genre classification of music content: A survey," IEEE Signal Processing Magazine, vol. 23, no. 2, pp. 133-141, 2006.
    • (2006) IEEE Signal Processing Magazine , vol.23 , Issue.2 , pp. 133-141
    • Scaringella, N.1    Zoia, G.2    Mlynek, D.3
  • 7
    • 57649175649 scopus 로고
    • Cambridge, MA: Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
    • Yuchun Lee, Classifiers: Adaptive Modules in Pattern Recognition Systems. Cambridge, MA: Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science (1989).
    • (1989) Adaptive Modules in Pattern Recognition Systems
    • Yuchun Lee, C.1
  • 8
    • 57649190379 scopus 로고    scopus 로고
    • ISMIR audio description contest
    • "ISMIR audio description contest," http://ismir2004.ismir.net/ genre-contest/index.hrm, 2004
    • (2004)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.