Phonetic words decoding software in the problem of Russian speech recognition

Authors:
A. V. Savchenko
Affiliations:
National Research University Higher School of Economics, Nizhni Novgorod, Russia
Venue:
Automation and Remote Control
Year:
2013

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Abstract

The prototype of the isolated words recognition software based on the phonetic decoding method with the Kullback-Leibler divergence is presented. The architecture and basic algorithms of the software are described. Finally, an example of application to the problem of isolated words recognition is provided.