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Automated evolutionary synthesis matching: Advanced evolutionary algorithms for difficult sound matching problems: Advanced evolutionary algorithms for difficult sound matching problems

Mitchell, Thomas J.

Authors

Tom Mitchell Tom.Mitchell@uwe.ac.uk
Professor of Audio and Music Interaction



Abstract

This paper discusses the subject of automatic evolutionary sound matching: systems in which evolutionary algorithms are used to automatically derive the parameters of a synthesiser to produce a sound that matches a specified target sound. The paper describes prior work and identifies the principal causes of match inaccuracy, which are often due to optimiser limitations as a result of search space problem difficulty. The components of evolutionary matching systems contributing to problem difficulty are discussed and suggestions as to how improvements can be made through problem simplification or optimiser sophistication are considered. Subsequently, a novel clustering evolution strategy is presented which enables the concurrent optimisation of multiple distinct search space solutions, intended for the purposes of sound matching with standard frequency modulation (FM) synthesisers. The algorithm is shown to outperform standard multi-membered and multi-start (1 + 1) evolution strategies in application to different FM synthesis models for static and dynamic sounds. The comparative study makes use of a contrived matching method, which ensures that results are not affected by the limitations of the matching synthesiser. © 2012 Springer-Verlag.

Journal Article Type Article
Publication Date Dec 1, 2012
Deposit Date Jan 9, 2013
Journal Soft Computing
Print ISSN 1432-7643
Electronic ISSN 1433-7479
Publisher Springer (part of Springer Nature)
Peer Reviewed Peer Reviewed
Volume 16
Issue 12
Pages 2057-2070
DOI https://doi.org/10.1007/s00500-012-0873-x
Keywords evolutionary computation, � evolutionary
sound matching, � frequency modulation synthesis, �
clustering, evolutionary algorithms, � evolution strategy
Public URL https://uwe-repository.worktribe.com/output/946187
Publisher URL http://dx.doi.org/10.1007/s00500-012-0873-x
Contract Date May 9, 2016


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