Design and Development of Speech Recognition System Based on HMM Algorithm

DOI

10.2991/iccse-17.2017.22How to use a DOI?

Keywords

Markoff model, HMM, Speech recognition

Abstract

This thesis introduces the basic theory of speech signal processing, and reviews the development history of speech recognition both at home and abroad. The thesis also expounds the basic theory of Dynamic Time Warping Algorithm and Markov Model in detail, and studies the method of their application to small vocabulary recognition for language for specific people. After being checked, there is a experiment on speech recognition algorithm for Chinese small vocabulary for specific people and the results show that the improved speech recognition method has better recognition performance than the traditional one.

Copyright

© 2017, 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  - Zhengru Xu
PY  - 2017/07
DA  - 2017/07
TI  - Design and Development of Speech Recognition System Based on HMM Algorithm
BT  - Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)
PB  - Atlantis Press
SP  - 124
EP  - 128
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccse-17.2017.22
DO  - 10.2991/iccse-17.2017.22
ID  - Xu2017/07
ER  -