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

DOI

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.

Copyright

© 2013, 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  - 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  - Proceedings of 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  - 10.2991/icmt-13.2013.16
ID  - Yanna2013/11
ER  -