Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13)

Codebook Design Method Based on Genetic Algorithm for Chinese Continuous Digital Speech Recognition

Authors
Wei Yanna, Zhao Liyan
Corresponding Author
Wei Yanna
Available Online November 2013.
DOI
https://doi.org/10.2991/icmt-13.2013.16How to use a DOI?
Keywords
Speech recognition·Vector quantization·Linde-Buzo-Gray algorithm·Genetic algorithm
Abstract
Vector quantization is one of model training and pattern matching technologies with good performance which is applied to speech recognition at present. The traditional Linde-Buzo-Gray (LBG) algorithm is easy to get the local optimal result in the process of codebook design. According to capability of getting global optimal, genetic algorithm (GA) is used to improve the quality of codebook. The new algorithm is applied to mandarin continuous digit speech recognition and implementation procedure is given in detail. The experiments show it is more effective than traditional LBG algorithm, especially in condition of lower SNR.
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Proceedings
3rd International Conference on Multimedia Technology(ICMT-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2013
ISBN
978-90-78677-89-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/icmt-13.2013.16How 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  - Wei Yanna
AU  - Zhao Liyan
PY  - 2013/11
DA  - 2013/11
TI  - Codebook Design Method Based on Genetic Algorithm for Chinese Continuous Digital Speech Recognition
BT  - 3rd International Conference on Multimedia Technology(ICMT-13)
PB  - Atlantis Press
SP  - 126
EP  - 133
SN  - 1951-6851
UR  - https://doi.org/10.2991/icmt-13.2013.16
DO  - https://doi.org/10.2991/icmt-13.2013.16
ID  - Yanna2013/11
ER  -