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Frequency Modulation Tone Matching Using a Fuzzy Clustering Evolution Strategy

Parameter estimation for Frequency Modulation synthesis has provided a continual challenge to researchers since its introduction over thirty years ago. Previous research has made use of basic evolutionary optimisation algorithms to evolve sounds produced by non-standard Frequency Modulation arrangements. In contrast, this paper utilises recent advancements in multi-modal evolutionary optimisation to perform dynamic-sound matching with traditional Frequency Modulation arrangements. In doing so, a technique is developed that is not synthesiser dependant, and provides the potential for alternative methods of synthesis control.

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