Russian Speech Recognition System Design Based on HMM

DOI

10.2991/lemcs-14.2014.89How to use a DOI?

Keywords

Russian Speech Recognition; Acoustic Model; Language Model; Russian Corpus

Abstract

Russian speech recognition is an important research focus. Starting from the basic principles of speech recognition, this article puts forward a basic HMM recognition system and analyzes the application of HMM in this system. It points out that Russian text corpus and speech corpus are the guarantee of high recognition rate. By experiments and comparison, we find some methods for further improvement, especially the optimization of recognition algorithm and its combination with Russian, which are the focus for future research.

Copyright

© 2014, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yanzhou Ma
AU  - Mianzhu Yi
PY  - 2014/05
DA  - 2014/05
TI  - Russian Speech Recognition System Design Based on HMM
BT  - Proceedings of the International Conference on Logistics, Engineering, Management and Computer Science
PB  - Atlantis Press
SP  - 377
EP  - 380
SN  - 1951-6851
UR  - https://doi.org/10.2991/lemcs-14.2014.89
DO  - 10.2991/lemcs-14.2014.89
ID  - Ma2014/05
ER  -