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 |