You are currently logged in as an
Institutional Subscriber.
If you would like to logout,
please click on the button below.
Home / Publications / E-library page
Only AES members and Institutional Journal Subscribers can download
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.
Author (s): Mitchell, Thomas; Sullivan, Charlie
Affiliation:
University of the West of England
(See document for exact affiliation information.)
AES Convention: 118
Paper Number:6366
Publication Date:
2005-05-06
Import into BibTeX
Session subject:
Analysis and Synthesis of Sound
Permalink: https://aes2.org/publications/elibrary-page/?id=13082
(261KB)
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 Join the AES. If you need to check your member status, login to the Member Portal.
Mitchell, Thomas; Sullivan, Charlie; 2005; Frequency Modulation Tone Matching Using a Fuzzy Clustering Evolution Strategy [PDF]; University of the West of England; Paper 6366; Available from: https://aes2.org/publications/elibrary-page/?id=13082
Mitchell, Thomas; Sullivan, Charlie; Frequency Modulation Tone Matching Using a Fuzzy Clustering Evolution Strategy [PDF]; University of the West of England; Paper 6366; 2005 Available: https://aes2.org/publications/elibrary-page/?id=13082