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Volumn , Issue , 2010, Pages 883-886

Visualized feature fusion and style evaluation for musical genre analysis

Author keywords

Beat histogram; Feature fusion; GMM; Musical genre analysis; Musical genre vector; Radar chart

Indexed keywords

BEAT HISTOGRAM; FEATURE FUSION; GMM; MUSICAL GENRE; RADAR CHART;

EID: 78650427443     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PCSPA.2010.218     Document Type: Conference Paper
Times cited : (2)

References (10)
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    • Li, S.1
  • 5
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  • 8
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    • Music genres classification using text categorization method
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    • Chen, K.1    Gao, S.2    Zhu, Y.3    Sun, Q.4
  • 9
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    • Fast recognition of musical genres using RBF networks
    • APRIL
    • Douglas Turnbull and Charles Elkan, "Fast Recognition of Musical Genres Using RBF Networks", IEEE TRANSACTIONS ON KNOWLEDGE AND ENGINEERING, VOL. 17, NO. 4, APRIL 2005, pp. 580-584
    • (2005) IEEE Transactions on Knowledge and Engineering , vol.17 , Issue.4 , pp. 580-584
    • Turnbull, D.1    Elkan, C.2
  • 10
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    • Song-level features and support vector machine for music classification
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    • M. Mandel, D. Ellis, "Song-Level Features and Support Vector Machine for Music Classification", ISMIR-05, London, 2005
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    • Mandel, M.1    Ellis, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.