Automatic Design of Sound Synthesis Techniques by means of GeneticProgramming

摘要

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