A New Musical Tool for Composition and Play Based on Simulated Breeding
Inhaltsverzeichnis
Reference
Tatsuo Unemi and Senda, M.: A New Musical Tool for Composition and Play Based on Simulated Breeding. The Second International Conference on Generative Systems in the Electronic Arts, pp. 100–109, Melborne, Australia.
DOI
Abstract
This paper presents the design of new personal computer tool for interactive composition and play. The tool, named SBEAT, utilizes MIDI technology and is based on Simulated Breeding, an optimization technique from Evolutionary Computing, combined with a method of fractal composition. An individual, the unit of breeding, is a bar of sixteen beats including eight parts - four parts of solos and another four parts of rhythm section. The melody and rhythm are generated by a recursive algorithm from genetic information. By listening to and selecting favorite pieces from scores displayed on the screen, the user decides which should be the parents to reproduce offspring in the next generation. By collecting some bred bars and their mutants, the user can easily build up a short tune.
Extended Abstract
Bibtex
Used References
[1] Unemi, T. (1999) “SBART2.4: Breeding 2D CG Images and Movies, and Creating a type of Collage,” The Third International Conference on Knowledge-based Intelligent Information Engineering Systems, 288–291.
[2] Takagi, H. (2001) “Interactive Evolutionary Computation: Fusion of the Capabilities of EC Optimization and Human Evaluation,” Proceedings of the IEEE, Vol. 89, No. 9, 1275–1296.
[3] Sims, K. (1991) “Artificial Evolution for Computer Graphics,” Computer Graphics, Vol. 25, No. 4 (SIG- GRAPH 91), 319–328.
[4] Sims, K. (1992) “Interactive Evolution of Dynamical Systems,” in F. J. Varela and P. Bourgine (Eds.), Toward a Practice of Autonomous Systems – Proceedings of the First European Conference on Artificial Life, 171–178, MIT Press.
[5] Todd, S. and Latham, W. (1992) “Evolutionary Art and Computers,” Academic Press.
[6] Baluja, S., Pomerleau, D. and Jochem, T. (1993) “Simulating User’s Preferences: Towards Automated Artificial Evolution for Computer Generated Images,” CMU Computer Science Technical Reports, CMU- CS-93-198.
[7] Greenfield, G. R. (2000) “Evolving Expressions and Art by Choice,” Leonardo, Vol. 33, No. 2, 93–100.
[8] Rowbottom, A. (1999) “Evolutionary Art and Form,” in Bentley, P. J. (ed) Evolutionary Design by Com- puters, 261–277, Morgan Kaufmann.
[9] Biles, J. A., Anderson, P. G. and Loggi, L. W. (1996) “Neural Network Fitness Functions for a Musi- cal IGA,” IIA’96/SOCO’96. International ICSC Symposia on Intelligent Industrial Automation and Soft Computing, B 39–44.
[10] Nelson, G. L. (1993) “Sonomorphs: An Application of Genetic Algorithms to Growth and Development of Musical Organisms,” Proceedings of the Fourth Biennial Art & Technology Symposium, Connecticut College, 155–169.
[11] Nelson, G. L. (1995) “Further Adventures of the Sonomorphs,” Proceedings of the Fifth Biennial Art & Technology Symposium, Connecticut College, 51–64.
[12] Midi Manufactures Association (1995) “The Complete MIDI 1.0 Detailed Specification,” Midi Manufac- tures Association, La Habra, CA.
[13] Moore, J. H. (1995) http://www-ks.rus.uni-stuttgart.de/people/schulz/fmusic/gamusic.html
[14] Ohsaki, M. and Takagi, H. (2000) “Design and Development of an IEC-based Hearing Aid Fitting Sys- tem,” Proceedings of the Fourth Asian Fuzzy Systems Symposium, Tsukuba, Japan, 543–548.
[15] Unemi, T. (1998) “A Design of Multi-Field User Interface for Simulated Breeding,” Proceedings of the third Asian Fuzzy Systems Symposium, 489–494.
[16] Tokui, N. and Iba, H. (2000) “Music Composition with Interactive Evolutionary Computation,” Proceed- ings of the Third International Conference on Generative Art, Milan, Italy.
[17] Iwai, M. (1994) “Tuning Parameters of FM Sound Resources by a Genetic Algorithm,” Summer Program- ming Symposium – Entertainment and Computers (in Japanese).
[18] Unemi, T. and Nakada, E. (2001) “A Tool for Composing Short Music Pieces by Means of Breeding,” Proceedings of the IEEE International Conference on Systems, Man and Cybernetics 2001, 3458–3463.
Links
Full Text
ftp://ftp.t.soka.ac.jp/users/unemi/papers/SecondIterate.pdf
