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Volumn , Issue , 2005, Pages

Intra-note features prediction model for Jazz saxophone performance

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER MUSIC; LEARNING SYSTEMS;

EID: 84923878811     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (12)
  • 3
    • 0010948346 scopus 로고    scopus 로고
    • Combining instrument and performance models for high quality music synthesis
    • R. B. Danneberg and I. Derenyi. Combining instrument and performance models for high quality music synthesis. Journal of New Music Research, 27:3, 1998.
    • (1998) Journal of New Music Research , vol.27 , pp. 3
    • Danneberg, R.B.1    Derenyi, I.2
  • 5
    • 0032308707 scopus 로고    scopus 로고
    • Study of spectro-temporal parameters in musical performance, with applications for expressive instrument synthesis
    • San Diego, USA, November
    • S. Dubnov and X. Rodet. Study of spectro-temporal parameters in musical performance, with applications for expressive instrument synthesis. In 1998 IEEE International Conference on Systems Man and Cybernetics, San Diego, USA, November 1998.
    • (1998) 1998 IEEE International Conference on Systems Man and Cybernetics
    • Dubnov, S.1    Rodet, X.2
  • 8
    • 0028210066 scopus 로고
    • Fundamental frequency estimation of musical signals using a twoway mismatch procedure
    • R. C. Maher and J. W. Beauchamp. Fundamental frequency estimation of musical signals using a twoway mismatch procedure. Journal of the Acoustic Society of America, 95, 1994.
    • (1994) Journal of the Acoustic Society of America , pp. 95
    • Maher, R.C.1    Beauchamp, J.W.2
  • 9
  • 11
    • 32844473255 scopus 로고    scopus 로고
    • Understanding expressive transformations in saxophone jazz performances using inductive machine learning
    • Paris, France
    • R. Ramirez, A. Hazan, E. Gmez, and E. Maestre. Understanding expressive transformations in saxophone jazz performances using inductive machine learning. In Proceedings of Sound and Music Computing'04, Paris, France, 2004.
    • (2004) Proceedings of Sound and Music Computing'04
    • Ramirez, R.1    Hazan, A.2    Gmez, E.3    Maestre, E.4
  • 12
    • 0141994463 scopus 로고    scopus 로고
    • Playing mozart by analogy: Learning multi-level timing and dynamics strategies
    • G. Widmer and A. Tobudic. Playing mozart by analogy: Learning multi-level timing and dynamics strategies. Journal of New Music Research, 2003.
    • (2003) Journal of New Music Research
    • Widmer, G.1    Tobudic, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.