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dc.contributor.authorAnskishan, Haydar
dc.contributor.authorInam, Sitki Cagdas
dc.date.accessioned2020-12-28T13:31:42Z
dc.date.available2020-12-28T13:31:42Z
dc.date.issued2019
dc.identifier.issn0003-682Xen_US
dc.identifier.urihttp://hdl.handle.net/11727/5287
dc.description.abstractWe introduce a new feature matrix (FMx) to discriminate the acoustic signals with the help of their hybrid characteristics. The FMx has hybrid domain characteristics consisting of feature values such as distributional area (polygonal area), maximum values of the histogram and fundamental frequency of the difference-difference (d2d) vector. To show the performance of the FMx, three different datasets are used together with quadratic discriminant analysis (QDA), multiclass support vector machines (M-SVMs) and convolutional neural networks (CNN). The simulation results show that FMx provides effective and useful information for the discrimination of the signals into subclasses with the help of ReliefF and forward sequential algorithms. In simulations, the test accuracies with QDA, M-SVMs and CNN were obtained as 94.20%, 100% and 100% respectively. So, the results of the simulations support the effectiveness of the FMx for the acoustic signal classification with three different datasets compared to the previous studies. (C) 2019 Elsevier Ltd. All rights reserved.en_US
dc.language.isoengen_US
dc.relation.isversionof10.1016/j.apacoust.2019.03.018en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAcoustic signal analysisen_US
dc.subjectFeature extractionen_US
dc.subjectFeature matrixen_US
dc.subjectPathological voice classificationen_US
dc.subjectColored noise discriminationen_US
dc.titleA hybrid measure for the discrimination of the acoustic signals: Feature matrix (FMx)en_US
dc.typearticleen_US
dc.relation.journalAPPLIED ACOUSTICSen_US
dc.identifier.volume152en_US
dc.identifier.startpage88en_US
dc.identifier.endpage100en_US
dc.identifier.wos000466828700011en_US
dc.identifier.scopus2-s2.0-85063726688en_US
dc.contributor.orcID0000-0002-6240-2545en_US
dc.contributor.orcID0000-0003-0820-9186en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergien_US
dc.contributor.researcherIDAAH-4421-2019en_US


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