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Programming and Computer Software

, Volume 44, Issue 3, pp 170–180 | Cite as

Neuron-Like Approach to Speech Recognition

  • N. N. DiepEmail author
  • A. A. Zhdanov
Article

Abstract

In this paper, we present a new approach to speech recognition based on A. Zhdanov’s biomorphic neuron-like networks, which is also known as the autonomous adaptive control (AAC) method. In contrast to artificial neural networks (ANNs), a neuron in the AAC method is itself a self-learning pattern recognition system. We attempt to build a speech recognition system as a construction of such neurons without a program component. If this attempt is successful, then we will be able to simulate the natural principle of speech recognition not only in a program way but also via parallel hardware implementations. We understand the speech recognition problem as one of the speech processes in natural nervous systems that is to be simulated.

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Copyright information

© Pleiades Publishing, Ltd. 2018

Authors and Affiliations

  1. 1.Moscow Institute of Physics and TechnologyDolgoprudnyi, Moscow oblastRussia
  2. 2.Lebedev Institute of Precision Mechanics and Computer EngineeringRussian Academy of SciencesMoscowRussia

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