메뉴 건너뛰기




Volumn , Issue , 2006, Pages 53-58

Symbolic musical genre classification based on repeating patterns

Author keywords

Classification; Features; Genre; Music retrieval; Repeating patterns

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); DATA ACQUISITION; HARMONIC ANALYSIS; SEMANTICS;

EID: 34547402093     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1178723.1178732     Document Type: Conference Paper
Times cited : (9)

References (14)
  • 4
    • 0002650458 scopus 로고    scopus 로고
    • String matching techniques for music similarity and melodic recognition
    • T. Crawford, C.S. Iliopoulos, and R. Raman. String matching techniques for music similarity and melodic recognition. Computing in Musicology, 11:73-100, 1998.
    • (1998) Computing in Musicology , vol.11 , pp. 73-100
    • Crawford, T.1    Iliopoulos, C.S.2    Raman, R.3
  • 6
    • 0035440862 scopus 로고    scopus 로고
    • Discovering non-trivial repeating patterns in music data
    • J.L. Hsu, C.C. Liu, and A.L.P. Chen. Discovering non-trivial repeating patterns in music data. IEEE Transactions on Multimedia, 3(3):311-325, 2001.
    • (2001) IEEE Transactions on Multimedia , vol.3 , Issue.3 , pp. 311-325
    • Hsu, J.L.1    Liu, C.C.2    Chen, A.L.P.3
  • 10
    • 25144447915 scopus 로고    scopus 로고
    • Automatic genre classification using large high-level musical feature sets
    • C. McKay and I. Fujinaga. Automatic genre classification using large high-level musical feature sets. In Proceedings of ISMIR, pages 31-38, 2004.
    • (2004) Proceedings of ISMIR , pp. 31-38
    • McKay, C.1    Fujinaga, I.2
  • 13
    • 33744997184 scopus 로고    scopus 로고
    • Pitch histograms in audio and symbolic music information retrieval
    • G. Tzanetakis, A. Ermolinskyi, and P. Cook. Pitch histograms in audio and symbolic music information retrieval. In Proceedings of ISMIR, pages 31-38, 2002.
    • (2002) Proceedings of ISMIR , pp. 31-38
    • Tzanetakis, G.1    Ermolinskyi, A.2    Cook, P.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.