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A qualitative analysis of the performance of a genetic annealing algorithm (GAA) is presented. The GAA is applied in the double frequency modulation DFM parameter optimization problem. It is shown that the GAA can optimize the solution to the global minimum by plotting the solution spaces of one DFM equation for all samples. Dynamic musical sounds were synthesized using the DFM synthesis technique. A recycling process is also proposed to improve the efficiency of the GAA process. The resulting dynamic sounds synthesized by the DFM are presented and compared with those of real samples.
Author (s): Lim, S. M.;
Tan, B. T. G.;
Affiliation:
Department of Physics, National University of Singapore, Singapore, Republic of Singapore
(See document for exact affiliation information.)
Publication Date:
1999-05-06
DOI:
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Lim, S. M.; Tan, B. T. G.; 1999; Performance of the Genetic Annealing Algorithm in DFM Synthesis of Dynamic Musical Sound Samples [PDF]; Department of Physics, National University of Singapore, Singapore, Republic of Singapore; Paper ; Available from: https://aes.org/publications/elibrary-page/?id=12106
Lim, S. M.; Tan, B. T. G.; Performance of the Genetic Annealing Algorithm in DFM Synthesis of Dynamic Musical Sound Samples [PDF]; Department of Physics, National University of Singapore, Singapore, Republic of Singapore; Paper ; 1999 Available: https://aes.org/publications/elibrary-page/?id=12106
@article{Lim1999performance,
title={{Performance of the Genetic Annealing Algorithm in DFM Synthesis of Dynamic Musical Sound Samples}},
author={Lim, S. M. and Tan, B. T. G.},
year={1999},
month={may},
journal={Journal of the Audio Engineering Society},
volume={47},
number={5},
pages={339-354},
}
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