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A Robust Speech Recognition Based on the Feature of Weighting Combination ZCPA
Beijing, China August 30-September 01
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.398First International Conference on Inn ...
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Xueying Zhang, Wuzhou Liang, "A Robust Speech Recognition Based on the Feature of Weighting Combination ZCPA," Innovative Computing ,Information and Control, International Conference on, vol. 3, pp. 361-364, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICICIC.2006.398,
author = {Xueying Zhang and Wuzhou Liang},
title = {A Robust Speech Recognition Based on the Feature of Weighting Combination ZCPA},
journal ={Innovative Computing ,Information and Control, International Conference on},
volume = {3},
year = {2006},
isbn = {0-7695-2616-0},
pages = {361-364},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.398},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Innovative Computing ,Information and Control, International Conference on
TI - A Robust Speech Recognition Based on the Feature of Weighting Combination ZCPA
SN - 0-7695-2616-0
SP361
EP364
A1 - Xueying Zhang,
A1 - Wuzhou Liang,
PY - 2006
KW - null
VL - 3
JA - Innovative Computing ,Information and Control, International Conference on
ER -
 
Xueying Zhang, Taiyuan University of Technology, P.R. China
Wuzhou Liang, Taiyuan University of Technology, P.R. China
This paper presents a new approach to extract antinoisy speech feature: weighting combination zerocrossings with peak amplitudes, which is based on auditory model. It is an improved model of zerocrossings with peak amplitudes. This approach uses the speech signal and its difference signal as input. The frequency information of speech signal is obtained by upward-going zero-crossing intervals, and the intension information is incorporated by compressing nonlinearly amplitudes. The speech feature is weighted according to the auditory characteristics by using weighting function, and then the output feature is obtained. The recognition part uses HMM. Experimental results demonstrate that this new feature is more robust than the old feature in noise environment.
Citation:
Xueying Zhang, Wuzhou Liang, "A Robust Speech Recognition Based on the Feature of Weighting Combination ZCPA," icicic, vol. 3, pp.361-364, First International Conference on Innovative Computing, Information and Control - Volume III (ICICIC'06), 2006
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