A software platform for genetic algorithms based parameter estimation on digital sound synthesizers

Abstract

In this research, we introduce a general-purpose sound synthesis architecture for parameter estimation system, which is employing genetic algorithms (GA), to search the parameter space for different digital sound synthesizer topologies. Based on the architecture, we have implemented the software using the SuperCollider audio synthesis and programming environment and conducted several experiments. Primary consideration of the implementation was a modular and flexible structure of the framework that may open wide-range of opportunities for musicians and researchers in the field.