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Musical sound recognition by active learning PNN

dc.contributor.authorBolat, Bulent
dc.contributor.authorKucuk, Unal
dc.date.accessioned2026-06-27T13:00:03Z
dc.date.issued2006
dc.description.abstractIn this work an active learning PNN was used to recognize instrumental sounds. LPC and MFCC coefficients with different orders were used as features. The best analysis orders were found by using passive PNNs and these sets were used with active learning PNNs. By realizing some experiments, it was shown that the entire performance was improved by using the active learning algorithm.en
dc.identifier.eissn1611-3349
dc.identifier.endpage481
dc.identifier.isbn3-540-39392-7
dc.identifier.issn0302-9743
dc.identifier.startpage474
dc.identifier.urihttps://hdl.handle.net/20.500.14981/48802
dc.identifier.volume4105
dc.identifier.wos000241429800061
dc.language.isoeng
dc.publisherSPRINGER-VERLAG BERLIN
dc.relation.conferenceInternational Workshop on Multimedia Content Representation, Classification and Security (MRCS 2006)
dc.relation.ispartofMULTIMEDIA CONTENT REPRESENTATION, CLASSIFICATION AND SECURITY
dc.subjectNEURAL-NETWORK
dc.subjectComputer Science
dc.titleMusical sound recognition by active learning PNN
dc.typeArticle; Proceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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