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Automatic Design of Sound Synthesis Techniques by means of Genetic Programming

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Design of Sound Synthesis Techniques (SST) is a hard problem. It is usually assumed that it requires human ingenuity to find a suitable solution. Many of the SSTs commonly used are the fruit of experimentation and long refinement processes. An automated approach for design of SSTs is proposed. The problem is stated as a search in the multidimensional SST space. It uses Genetic Programming (GP) to suggest valid functional forms, and standard optimization techniques to fit their internal parameters. A psychoacoustic auditory model is used to compute the perceptual distance between the target and test sounds. The developed AGeSS (Automatic Generator of Sound Synthesizers) system is introduced, and a simple example of the evolved SSTs is shown

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