Advances in Algorithmic Composition

作者: Yin FENG

DOI: 10.1360/JOS170209

关键词:

摘要: Some problems on Algorithmic Composition are discussed, and a survey for series of key techniques used in this approach is made, which include Markov chains, stochastic process, musical knowledge based system, grammar, artificial neural networks, genetic algorithms. The conclusion that the development music composition system should involve combination existing technologies, i.e. Hybrid System development. In order to make become more practical effective, there be some flexible human intervenient ways different level system.

参考文章(19)
Petri Toiviainen, Symbolic AI versus Connectionism in Music Research. Routledge. pp. 47- 67 ,(2000) , 10.4324/9780203059746-9
G. A. Wiggins, A. Tuson, S. Phon--Amnuaisuk, G. Papadopoulos, Evolutionary methods for musical composition International Journal of Computing. ,(1998)
Michael Domino, Charles Ames, Cybernetic composer: an overview Understanding music with AI. pp. 186- 205 ,(1992)
Marc Leman, Artificial Neural Networks in Music Research Computer Representations and Models in Music. ,(1992)
John A. Biles, GenJam: A Genetic Algorithm for Generating Jazz Solos international computer music conference. ,vol. 1994, pp. 131- 137 ,(1994)
Alessandra Capanna, Iannis Xenakis:Architect of Light and Sound Nexus Network Journal. ,vol. 3, pp. 19- 26 ,(2001) , 10.1007/S00004-000-0003-4
Christopher Headington, History of Western Music ,(1976)
Sepp Hochreiter, Jürgen Schmidhuber, Long short-term memory Neural Computation. ,vol. 9, pp. 1735- 1780 ,(1997) , 10.1162/NECO.1997.9.8.1735
Peter M. Todd, David J. Hamilton, Louis P. DiPalma, D. Gareth Loy, Music and Connectionism ,(1991)