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First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06)
Monaural Speech Separation Based on Computational Auditory Scene Analysis and Objective Quality Assessment of Speech
Beijing, China
August 30-September 01
ISBN: 0-7695-2616-0
ASCII Text
x 
 
Peng Li, Yong Guan, Bo Xu, Wenju Liu, "Monaural Speech Separation Based on Computational Auditory Scene Analysis and Objective Quality Assessment of Speech," Innovative Computing ,Information and Control, International Conference on, vol. 2, pp. 742-745, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICICIC.2006.311,
author = {Peng Li and Yong Guan and Bo Xu and Wenju Liu},
title = {Monaural Speech Separation Based on Computational Auditory Scene Analysis and Objective Quality Assessment of Speech},
journal ={Innovative Computing ,Information and Control, International Conference on},
volume = {2},
year = {2006},
isbn = {0-7695-2616-0},
pages = {742-745},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICICIC.2006.311},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Innovative Computing ,Information and Control, International Conference on
TI - Monaural Speech Separation Based on Computational Auditory Scene Analysis and Objective Quality Assessment of Speech
SN - 0-7695-2616-0
SP742
EP745
A1 - Peng Li,
A1 - Yong Guan,
A1 - Bo Xu,
A1 - Wenju Liu,
PY - 2006
KW - null
VL - 2
JA - Innovative Computing ,Information and Control, International Conference on
ER -
 
Peng Li, Chinese Academy of Sciences, China
Yong Guan, Chinese Academy of Sciences, China
Bo Xu, Chinese Academy of Sciences, China
Wenju Liu, Chinese Academy of Sciences, China
Monaural speech separation is a very challenging problem in speech signal processing. It has been studied previously, and many separation systems based on computational auditory scene analysis (CASA) have been proposed. Although the research on CASA has tended to introduce high level knowledge into separation process from primitive data-driven method, the knowledge of speech quality still has not been combined in it. In order to solve this problem, we proposed a new method which combined CASA with objective quality assessment of speech (OQAS). Through this combination, the performance of the speech separation can be improved not only in SNR, but also in Mean Opinion Score (MOS).
Citation:
Peng Li, Yong Guan, Bo Xu, Wenju Liu, "Monaural Speech Separation Based on Computational Auditory Scene Analysis and Objective Quality Assessment of Speech," icicic, vol. 2, pp.742-745, First International Conference on Innovative Computing, Information and Control - Volume II (ICICIC'06), 2006
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