Large-scale Induction of Expressive Performance Rules: First Quantitative Results

International Computer Music Conference, ICMC Proceedings

Volumn , Issue , 2000, Pages

  Widmer, Gerhard ^a  

^a UNIVERSITY OF VIENNA   (Austria)

Author keywords

[No Author keywords available]

Indexed keywords

MACHINE LEARNING;

BASIC PRINCIPLES; EXPRESSION PATTERNS; EXPRESSIVE MUSIC PERFORMANCE; EXPRESSIVE PERFORMANCE; LARGE-SCALES; MACHINE LEARNING METHODS; MACHINE-LEARNING; PERFORMANCE DATA; QUANTITATIVE RESULT;

LEARNING ALGORITHMS;

EID: 85065380348     PISSN: 22233881     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

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3. Friberg, A. (1991). Generative Rules for Music Performance: A Formal Description of a Rule System. Computer Music Journal 15(2):56-71.
4. Gabrielsson, A. (1987). Once Again: The Theme from Mozart's Piano Sonata in A Major (K.331). In A. Gabrielsson (ed.), Action and perception in Rhythm and Music. Stockholm: Royal Swedish Academy of Music.
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8. Widmer, G. (1995). Modelling the Rational Basis of Musical Expression. Computer Music Journal 19(2):76-96.
9. Widmer, G. (1996). Learning Expressive Performance: The Structure-Level Approach. Journal of New Music Research 25(2):179-205.
10. Witten, I.H. & Frank, E. (1999). Data Mining. San Francisco, CA: Morgan Kaufmann.