Geodesic
Automatic continuous speech recognition system based on multiagent recursive cognitive architectures
News of the Kabardin-Balkar scientific center of RAS, no. 4 (2017), pp. 11-18.

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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. 
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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, no. 4 (2017), pp. 11-18. http://geodesic.mathdoc.fr/item/IZKAB_2017_4_a1/

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