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Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/97512
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dc.titlePerformance of the genetic annealing algorithm in DFM synthesis of dynamic musical sound samples
dc.contributor.authorLim, S.M.
dc.contributor.authorTan, B.T.G.
dc.date.accessioned2014-10-16T09:36:08Z
dc.date.available2014-10-16T09:36:08Z
dc.date.issued1999-05
dc.identifier.citationLim, S.M.,Tan, B.T.G. (1999-05). Performance of the genetic annealing algorithm in DFM synthesis of dynamic musical sound samples. AES: Journal of the Audio Engineering Society 47 (5) : 339-354. ScholarBank@NUS Repository.
dc.identifier.issn00047554
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/97512
dc.description.abstractA qualitative analysis of the performance of a genetic annealing algorithm (GAA) is presented. The GAA is applied in the double frequency modulation DFM parameter optimization problem. It is shown that the GAA can optimize the solution to the global minimum by plotting the solution spaces of one DFM equation for all samples. Dynamic musical sounds were synthesized using the DFM synthesis technique. A recycling process is also proposed to improve the efficiency of the GAA process. The resulting dynamic sounds synthesized by the DFM are presented and compared with those of real samples.
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentPHYSICS
dc.description.sourcetitleAES: Journal of the Audio Engineering Society
dc.description.volume47
dc.description.issue5
dc.description.page339-354
dc.description.codenJAEAF
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Staff Publications

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