Convergence Synthesis of Dynamic Frequency Modulation Tones Using an Evolution Strategy

This paper reports on steps that have been taken to enhance previously presented evolutionary sound matching work. In doing so, the convergence characteristics are shown to provide a synthesis method that produces interesting sounds. The method implements an Evolution Strategy to optimise a set of real-valued Frequency Modulation parameters. The development of the evolution is synthesised as optimisation takes place, and the corresponding dynamic sound can be observed developing from initial disorder, into a stable, static tone. 1 Background Horner et al. have presented a collection of evolutionary dynamic-tone matching systems applied to a variety of synthesis techniques: Frequency Modulation Synthesis (FM) [1], [2], Wavetable synthesis [3], and Group Synthesis [4]. Throughout Horner’s work, a Genetic Algorithm (GA) is employed to optimise a set of static wavetable basis-spectra1 , which are, as in wavetable synthesis, combined in time-varying quantities to match dynamic target tone...

• Type: Conference
• Year: 2005
• Where: EVOW
• Authors: Thomas J. Mitchell, Anthony G. Pipe
• Keywords: Artificial Intelligence, EVOW 2005, Synthesis Method, Synthesis Technique, Wavetable Synthesis