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News of the Kabardin-Balkar scientific center of RAS, 2016, Issue 6, Pages 18–23 (Mi izkab203)  
COMPUTER SCIENCE. MATHEMATICS

Methods and algorithms for automatic speech recognition: concise review

I. A. Gurtuevaa, I. D. Taisaevb

a Institute of Computer Science and Problems of Regional Management of KBSC of the Russian Academy of Science, 360000, KBR, Nalchik, 37-a, I. Armand street
b Kabardin-Balkar State University named after H.M. Berbekov, 360004, KBR, Nalchik, 173, Chernyshevsky street
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Abstract: Almost all current automatic speech recognition systems are based on the standard procedure. Its architecture is shown in the article. Most widespread methods and algorithms are described. The authors showed the necessity of fundamentally new approach to problems of speech recognition and represented its key idea.
Keywords: Fourier transform, hidden Markov models, artificial neuron nets, acoustic variability.
Received: 31.10.2016
Document Type: Article
Language: Russian
Citation: I. A. Gurtueva, I. D. Taisaev, “Methods and algorithms for automatic speech recognition: concise review”, News of the Kabardin-Balkar scientific center of RAS, 2016, no. 6, 18–23
Citation in format AMSBIB
\Bibitem{GurTai16}
\by I.~A.~Gurtueva, I.~D.~Taisaev
\paper Methods and algorithms for automatic speech recognition: concise review
\jour News of the Kabardin-Balkar scientific center of RAS
\yr 2016
\issue 6
\pages 18--23
\mathnet{http://mi.mathnet.ru/izkab203}
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