Toward user-directed evolution of sound synthesis parameters

  • Authors:
  • James McDermott;Niall J. L. Griffith;Michael O'Neill

  • Affiliations:
  • University of Limerick, Ireland;University of Limerick, Ireland;University of Limerick, Ireland

  • Venue:
  • EC'05 Proceedings of the 3rd European conference on Applications of Evolutionary Computing
  • Year:
  • 2005

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Abstract

Experiments are described which use genetic algorithms operating on the parameter settings of an FM synthesizer, with the aim of mimicking known synthesized sounds. The work is considered as a precursor to the development of synthesis plug-ins using evolution directed by a user. Attention is focussed on the fitness functions used to drive the evolution: the main result is that a composite fitness function – based on a combination of perceptual measures, spectral analysis, and low-level sample-by-sample comparison – drives more successful evolution than fitness functions which use only one of these types of criterion.