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Volumn , Issue , 2012, Pages 217-222

String methods for folk tune genre classification

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; CLASSIFICATION TASKS; DATA SETS; FOLK SONGS; GENRE CLASSIFICATION; GLOBAL FEATURE; N-GRAM MODELS; STRING METHODS;

EID: 84873456470     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (25)

References (22)
  • 1
    • 84873456587 scopus 로고    scopus 로고
    • http://trillian.mit.edu/~jc/cgi/abc/tunefind.
  • 2
    • 84873475137 scopus 로고    scopus 로고
    • http://www.cs.waikato.ac.nz/ml/weka/.
  • 3
    • 84873444704 scopus 로고    scopus 로고
    • http://jmir.sourceforge.net/jSymbolic.html.
  • 5
    • 17744364120 scopus 로고    scopus 로고
    • Clustering by compression
    • IEEE Transactions on
    • R. Cilibrasi and P. Vitányi. Clustering by compression. Information Theory, IEEE Transactions on, 51(4):1523-1545, 2005.
    • (2005) Information Theory , vol.51 , Issue.4 , pp. 1523-1545
    • Cilibrasi, R.1    Vitányi, P.2
  • 6
    • 79960514694 scopus 로고    scopus 로고
    • Comparative pattern analysis of cretan folk songs
    • D. Conklin and C. Anagnostopoulou. Comparative pattern analysis of Cretan folk songs. Journal of New Music Research, 40(2):119-125, 2011.
    • (2011) Journal of New Music Research , vol.40 , Issue.2 , pp. 119-125
    • Conklin, D.1    Anagnostopoulou, C.2
  • 11
    • 24644449747 scopus 로고    scopus 로고
    • Melody classification using a similarity metric based on kolmogorov complexity
    • Paris, France
    • M. Li and R. Sleep. Melody classification using a similarity metric based on Kolmogorov complexity. In Sound and Music Computing Conference, Paris, France, 2004.
    • (2004) Sound and Music Computing Conference
    • Li, M.1    Sleep, R.2
  • 19
    • 33748446368 scopus 로고    scopus 로고
    • A method for comparative analysis of folk music based on musical feature extraction and neural networks
    • Jyväskylä, Finland
    • P. Toiviainen and T. Eerola. A method for comparative analysis of folk music based on musical feature extraction and neural networks. In 3rd International Conference on Cognitive Musicology, pages 41-45, Jyväskylä, Finland, 2001.
    • (2001) 3rd International Conference on Cognitive Musicology , pp. 41-45
    • Toiviainen, P.1    Eerola, T.2
  • 22
    • 84873418860 scopus 로고    scopus 로고
    • A computational approach to content-based retrieval of folk song melodies
    • P. van Kranenburg. A computational approach to content-based retrieval of folk song melodies. SIKS dissertatiereeks, 2010(43), 2010.
    • (2010) SIKS Dissertatiereeks , vol.2010 , Issue.43
    • Van Kranenburg, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.