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News of the Kabardin-Balkar scientific center of RAS, 2017, Issue 4, Pages 11–18 (Mi izkab159)  
COMPUTER SCIENCE. MATHEMATICS

Automatic continuous speech recognition system based on multiagent recursive cognitive architectures

Z. V. Nagoev, I. A. Gurtueva

Institute of Computer Science and Problems of Regional Management – branch of Federal public budgetary scientific establishment "Federal scientific center "Kabardin-Balkar Scientific Center of the Russian Academy of Sciences", 360000, KBR, Nalchik, 37-a, I. Armand St.
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Abstract: The article presents a concise overview on current approaches to problems of speech recognition. Authors demonstrate the necessity to develop fundamentally new mathematical methods. The concept for fundamentally new approach to developing speech recognition systems is proposed. Speech Recognition Architecture in a medium with several speakers is built on the base of multiagent recursive cognitive models. It imitates human’s attention mechanism. Experimental results are represented.
Keywords: speech recognition, hidden Markov modeling, artificial intelligence, speech processing, multiagent systems.
Funding agency Grant number
Russian Foundation for Basic Research 15-01-05844
15-07-08309
This work was supported by grants from the Russian Foundation for Basic Research No. 15-01-05844, 15-07-08309
Received: 21.08.2017
Document Type: Article
Language: Russian
Citation: Z. V. Nagoev, I. A. Gurtueva, “Automatic continuous speech recognition system based on multiagent recursive cognitive architectures”, News of the Kabardin-Balkar scientific center of RAS, 2017, no. 4, 11–18
Citation in format AMSBIB
\Bibitem{NagGur17}
\by Z.~V.~Nagoev, I.~A.~Gurtueva
\paper Automatic continuous speech recognition system based on multiagent recursive cognitive architectures
\jour News of the Kabardin-Balkar scientific center of RAS
\yr 2017
\issue 4
\pages 11--18
\mathnet{http://mi.mathnet.ru/izkab159}
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