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.
Click to purchase paper as a non-member or login as an AES member. If your company or school subscribes to the E-Library then switch to the institutional version. If you are not an AES member and would like to subscribe to the E-Library then Join the AES!
This paper costs $33 for non-members and is temporarily free for AES members.