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There are four primary perspectives on Generative Music (Wooller, R. et.al., 2005)(reproduced with permission): 1. ''Linguistic/Structural:'' music composed from analytic theories that are so explicit as to be able to generate structurally coherent material (Loy and Abbott 1985; Cope 1991). This perspective has its roots in the Generative Grammar s of language (Chomsky 1956) and music (Lerdahl and Jackendoff 1983), which generate material with a Recursive Tree Structure . 2. ''Interactive/Behavioural:'' music generated by a system component that ostensibly has no inputs. That is, 'not transformational' (Rowe 1991; Lippe 1997:34; Winkler 1998). 3. ''Creative/Procedural:'' music generated by processes that are designed and/or initiated by the composer. Steve Reich 's ''Its gonna rain'' and Terry Riley 's ''In C'' are examples of this (Eno 1996). 4. ''Biological/Emergent:'' non-deterministic music (Biles 2002), or music that cannot be repeated, for example, ordinary wind chimes (Dorin 2001). This perspective comes from the broader Generative Art movement. This revolves around the idea that music, or sounds may be 'generated' by a musician 'farming' parameters within an ecology, such that the ecology will perpetually produce different variation based on the parameters and algorithms used .
REFERENCES Biles, A. 2002a. GenJam in Transition: from Genetic Jammer to Generative Jammer. In International Conference on Generative Art, Milan, Italy. Chomsky, N. 1956. Three models for the description of language. IRE Transcripts on Information Theory, 2: 113-124. Cope, D. 1991. Computers and musical style. Madison, Wis.: A-R Editions. Dorin, A. 2001. Generative processes and the electronic arts. Organised Sound, 6 (1): 47-53. Eno, B. 1996. Generative Music. http://www.inmotionmagazine.com/eno1.html (accessed 27th of July, 2005). Essl, K. 2002. Generative Music. http://www.essl.at/bibliogr/generative-music.html (accessed 16th of August, 2006). Lerdahl, F. and R. Jackendoff. 1982. A generative theory of tonal music. Cambridge, Mass: MIT Press. Lippe, C. 1997. Music for piano and computer: A description. Information Processing Society of Japa SIG Notes, 97 (122): 33-38. Loy, G. and C. Abbott. 1985. Programming languages for computer music synthesis, performance and composition. ACM Computing Surveys (CSUR), 17 (2): 235-265. Rowe, R. 1991. Machine Learning and Composing: Making Sense of Music with Cooperating Real-Time Agents. Thesis from Media Lab. Mass.: MIT. Winkler, T. 1998. Composing Interactive Music. Cambridge, Massachusetts: MIT Press. Wooller, R., ''et al.'' A framework for comparing algorithmic music systems. in Symposium on Generative Arts Practice (GAP). 2005. University of Western Sydney. |
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