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Use of Novel Feature Extraction Technique with Subspace Classifiers for Speech Recognition

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dc.contributor.authorGünal, Serkan
dc.contributor.authorRifat Edizkan
dc.contributor.orcid0000-0002-9691-1575
dc.contributor.orcid0000-0002-5125-5631
dc.date.accessioned2025-11-13T11:18:23Z
dc.date.issued2007-07-01
dc.identifier.doihttps://doi.org/10.1109/perser.2007.4283894
dc.identifier.openalexW2166397230
dc.identifier.urihttps://hdl.handle.net/11421/6369
dc.identifier.urihttps://doi.org/10.1109/perser.2007.4283894
dc.language.isoen
dc.rightsrestrictedAccess
dc.subjectComputer science
dc.subjectFeature extraction
dc.subjectPattern recognition (psychology)
dc.subjectArtificial intelligence
dc.subjectSpeech recognition
dc.subjectSubspace topology
dc.subjectClassifier (UML)
dc.subjectRandom subspace method
dc.subjectFeature selection
dc.subjectFeature vector
dc.subjectWavelet transform
dc.subjectWavelet
dc.titleUse of Novel Feature Extraction Technique with Subspace Classifiers for Speech Recognition
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5003391938

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