DocumentCode :
2148086
Title :
Speech Signal Enhancement Based on Adaptive Multi-resolution Form of SVD
Author :
Yanhong, Lu ; Xiaohong, Qin
Volume :
2
fYear :
2008
fDate :
27-30 May 2008
Firstpage :
137
Lastpage :
140
Abstract :
A speech signal enhancement method based on adaptive multi-resolution form of singular value decomposition (MSVD) is proposed in this paper. The residual noise after spectral subtraction, which results in audible musical noise, is reduced further by MSVD filter. In comparison with the original singular value decomposition filter (SVD), MSVD filter reduces the computational burden, which is very important for real time speech processing situations.
Keywords :
Acoustic noise; Adaptive signal processing; Background noise; Filtering; Filters; Noise reduction; Signal processing; Singular value decomposition; Speech enhancement; Speech processing; Resolution; Signal-to-noise ratio; Singular value decomposition; adaptive multiresolution form of SVD;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing, 2008. CISP '08. Congress on
Conference_Location :
Sanya, China
Print_ISBN :
978-0-7695-3119-9
Type :
conf
DOI :
10.1109/CISP.2008.56
Filename :
4566284
Link To Document :
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