350 rub
Journal Neurocomputers №9 for 2014 г.
Article in number:
Neural networks as classifiers in speech recognition systems
Keywords: speech recognition system neural network recognition algorithms
Authors:
N.I. Chervyakov - Dr.Sc. (Eng.), Professor, Head of the Department of Applied Mathematics and Mathematical Modeling, North-Caucasus Federal University, Stavropol, Russia. E-mail: k-fmf-primath@stavsu.ru
N.V. Ternovoy - Post-graduate Student, Department of Applied Mathematics and Mathematical Modeling, North-Caucasus Federal University, Stavropol, Russia. E-mail: n.ternovoi@infocom-s.ru
A.V. Gapochkin - Post-graduate Student, Department of Applied Mathematics and Mathematical Modeling, North-Caucasus Federal University, Stavropol, Russia. E-mail: warrior_555@rambler.ru
Abstract:
The paper analyzes the ability of using different neural networks for speech recognition systems. Neural networks offer massive parallelism to operate in real time and the ability to adapt, which creates a great potential for solving complex problems of speech recognition. Neural networks are applicable to all tasks necessary for speech recognition. However, for various subtasks requires different types of neural networks, which should be considered in establishing such systems.
Pages: 20-24
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