Proceedings of the 2017 International Conference on Computational Science and Engineering (ICCSE 2017)

Design and Development of Speech Recognition System Based on HMM Algorithm

Authors
Zhengru Xu
Corresponding Author
Zhengru Xu
Available Online July 2017.
DOI
https://doi.org/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.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2017 International Conference on Computational Science and Engineering(ICCSE 2017)
Part of series
Advances in Computer Science Research
Publication Date
July 2017
ISBN
978-94-6252-404-0
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccse-17.2017.22How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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