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Speaker identification for security systems using reinforcement-trained pRAM neural network architectures

dc.contributor.authorClarkson, T. G.en
dc.contributor.authorChristodoulou, Chris C.en
dc.contributor.authorGuan, Y.en
dc.contributor.authorGorse, D.en
dc.contributor.authorRomano-Critchley, D. A.en
dc.contributor.authorTaylor, J. G.en
dc.creatorClarkson, T. G.en
dc.creatorChristodoulou, Chris C.en
dc.creatorGuan, Y.en
dc.creatorGorse, D.en
dc.creatorRomano-Critchley, D. A.en
dc.creatorTaylor, J. G.en
dc.date.accessioned2019-11-13T10:39:24Z
dc.date.available2019-11-13T10:39:24Z
dc.date.issued2001
dc.identifier.issn1094-6977
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/53775
dc.description.abstractFour probabilistic pRAM neural network architectures are presented to explain have the different pRAM network architectures perform a classification. In addition, it is shown where the difficulties lie in seperating different speakers using the time encoded signal processing and recognition (TESPAR) representations. A performance of approximately 97% correct classifications is obtained which is similar to results obtained elsewhere.en
dc.sourceIEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviewsen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-0035245077&doi=10.1109%2f5326.923269&partnerID=40&md5=e4804953025c8c0725a0cb0955c3b8b7
dc.subjectNeural networksen
dc.subjectProbabilityen
dc.subjectVectorsen
dc.subjectRandom access storageen
dc.subjectSpeech recognitionen
dc.subjectVLSI circuitsen
dc.subjectSecurity systemsen
dc.subjectMultilayer neural networksen
dc.subjectProbabilistic RAMen
dc.subjectReinforcement trainingen
dc.subjectSignal compressionen
dc.subjectSpeaker identificationen
dc.subjectSpeech processingen
dc.subjectTime encoded signal processing and recognitionen
dc.titleSpeaker identification for security systems using reinforcement-trained pRAM neural network architecturesen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1109/5326.923269
dc.description.volume31
dc.description.issue1
dc.description.startingpage65
dc.description.endingpage76
dc.author.faculty002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Πληροφορικής / Department of Computer Science
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :19</p>en
dc.source.abbreviationIEEE Trans Syst Man Cybern Pt C Appl Reven
dc.contributor.orcidChristodoulou, Chris C. [0000-0001-9398-5256]
dc.gnosis.orcid0000-0001-9398-5256


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