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.
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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.
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|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:||13 Aug 2013 06:38|
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