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Application for TESPAR coding study and speaker recognition experiments [articol]

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dc.contributor.author Lupu, Eugen
dc.contributor.author Moca, Vasile V.
dc.contributor.author Pop, Petre G.
dc.date.accessioned 2021-09-13T09:29:31Z
dc.date.available 2021-09-13T09:29:31Z
dc.date.issued 2004
dc.identifier.citation Lupu, Eugen. Application for TESPAR coding study and speaker recognition experiments. Timişoara: Editura Politehnica, 2004 en_US
dc.identifier.uri http://primo.upt.ro:1701/primo-explore/search?query=any,contains,Application%20for%20TESPAR%20coding%20study%20and%20speaker%20recognition%20experiments&tab=default_tab&search_scope=40TUT&vid=40TUT_V1&lang=ro_RO&offset=0 Link Primo
dc.description.abstract TESPAR coding (Time Encoding Signal Processing and Recognition) represents an effectiveness alternative to the other common methods (Dynamic Time Warping, Vector Quantization, Hidden Markov Models, etc.) used for speech/speaker recognition. The important advantage of this method is the time processing of signal with a decrease of two orders of magnitude of the computational requirements. This work presents an application for TESPAR coding study allowing speaker recognition experiments using parallel neural networks architecture. en_US
dc.language.iso en en_US
dc.publisher Timişoara : Editura Politehnica en_US
dc.relation.ispartofseries Buletinul ştiinţific al Universităţii „Politehnica” din Timişoara, România. Seria electronică şi telecomunicaţii, Tom 49(63), fasc. 1 (2004), p. 279-282
dc.subject TESPAR coding en_US
dc.subject Speaker recognition en_US
dc.subject Parallel neural networks en_US
dc.subject Archetypes en_US
dc.subject TESPAR-A matrix en_US
dc.title Application for TESPAR coding study and speaker recognition experiments [articol] en_US
dc.type Article en_US


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