Mitchell, T. J.
Evolutionary sound matching: A test methodology and comparative study.
Proceedings of the Sixth International Conference on Machine Learning and Applications, Cincinnati, OH, USA, 13-15 December 2007.
Available from: http://eprints.uwe.ac.uk/7983
- Published Version
Publisher's URL: http://www.ieee.org/index.html
With the ever-increasing complexity of sound synthesisers, there is a growing demand for automated parameter estimation and sound space navigation techniques. Recent research in this domain has focused on the application of general-purpose evolutionary algorithms to match specific types of target sounds. However, it is difficult to establish whether success or failure of a particular match is due to the inefficiency of the optimisation engine, or the limitations of the matching synthesiser. In this paper the distinction between optimiser inefficiency and synthesiser limitations is elucidated with a contrived target test methodology that enables the performance of different optimisation techniques to be measured and compared. The methodology is applied to a Frequency Modulation synthesiser, in order to compare the performance of different Evolution Strategy-based algorithms. The algorithm producing the best results with contrived targets is then used to match a non-contrived acoustic instrument tone.
|Item Type:||Conference or Workshop Item (Paper)|
|Additional Information:||Copyright © 2007 IEEE. Reprinted from Proceedings of the Sixth International Conference on Machine Learning and Applications, Cincinnati, IEEE.
This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of the West of England’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to email@example.com.
By choosing to view this document, you agree to all provisions of the copyright laws protecting it.|
|Uncontrolled Keywords:||evolutionary sound matching|
|Faculty/Department:||Faculty of Environment and Technology > Department of Computer Science and Creative Technologies|
|Deposited On:||16 Jun 2010 07:51|
|Last Modified:||25 Jan 2016 13:01|
Request a change to this item
Total Document Downloads in Past 12 Months