loading...
Improved Two-stage Wiener Filter for Robust Speaker Identification
Hong Kong August 20-August 24
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.69618th International Conference on Patt ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
Yanlu Xie, Minghui Liu, Zhiqiang Yao, Beiqian Dai, "Improved Two-stage Wiener Filter for Robust Speaker Identification," Pattern Recognition, International Conference on, vol. 4, pp. 310-313, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006.
 
 
BibTex
x
 
@article{ 10.1109/ICPR.2006.696,
author = {Yanlu Xie and Minghui Liu and Zhiqiang Yao and Beiqian Dai},
title = {Improved Two-stage Wiener Filter for Robust Speaker Identification},
journal ={Pattern Recognition, International Conference on},
volume = {4},
year = {2006},
issn = {1051-4651},
pages = {310-313},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICPR.2006.696},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Pattern Recognition, International Conference on
TI - Improved Two-stage Wiener Filter for Robust Speaker Identification
SN - 1051-4651
SP310
EP313
A1 - Yanlu Xie,
A1 - Minghui Liu,
A1 - Zhiqiang Yao,
A1 - Beiqian Dai,
PY - 2006
KW - null
VL - 4
JA - Pattern Recognition, International Conference on
ER -
 
Yanlu Xie, University of Science and Technology of China
Minghui Liu, University of Science and Technology of China
Zhiqiang Yao, University of Science and Technology of China
Beiqian Dai, University of Science and Technology of China
In order to solve the problem of robustness in textindependent speaker identification, two-stage Wiener filter presented in the ETSI standard is used in this paper. However, the performance of the voice activity detection (VAD) block in the standard is not so satisfying under lower SNR. Thus constrainedclustering vector quantization is presented to improve the block in the Wiener filter method. Experiments based on the MSRA?s mandarin speech corpora show the good robustness of the improved method to several common additive noises.
Citation:
Yanlu Xie, Minghui Liu, Zhiqiang Yao, Beiqian Dai, "Improved Two-stage Wiener Filter for Robust Speaker Identification," icpr, vol. 4, pp.310-313, 18th International Conference on Pattern Recognition (ICPR'06) Volume 4, 2006
Usage of this product signifies your acceptance of the Terms of Use.