Frequency Modulation Tone Matching Using a Fuzzy Clustering Evolution Strategy

Mitchell T, Sullivan C. Frequency Modulation Tone Matching Using a Fuzzy Clustering Evolution Strategy. In: AES Convention 118. Audio Engineering Society; 2005. Paper 6366. Available from: https://aes.org/publications/elibrary-page/?id=13082

@inproceedings{Mitchell2005_13082,
  author = {Mitchell, Thomas and Sullivan, Charlie},
  title = {{Frequency Modulation Tone Matching Using a Fuzzy Clustering Evolution Strategy}},
  booktitle = {AES Convention 118},
  note = {Paper 6366},
  year = {2005},
  month = may,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13082}
}

TY  - CPAPER
TI  - Frequency Modulation Tone Matching Using a Fuzzy Clustering Evolution Strategy
AU  - Mitchell, Thomas
AU  - Sullivan, Charlie
T2  - AES Convention 118
M1  - Paper 6366
PY  - 2005
DA  - 2005/05/06
UR  - https://aes.org/publications/elibrary-page/?id=13082
PB  - Audio Engineering Society
LA  - en
AB  - 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.
ER  -