DocumentCode :
2712967
Title :
Experimental comparison of signal subspace based noise reduction methods
Author :
Hansen, Peter S K ; Hansen, Per Christian ; Hansen, Steflen Duus ; Sorensen, J.A.
Author_Institution :
Dept. of Math. Modelling, Tech. Univ., Lyngby, Denmark
Volume :
1
fYear :
1999
fDate :
15-19 Mar 1999
Firstpage :
101
Abstract :
The signal subspace approach for non-parametric speech enhancement is considered. Several algorithms have been proposed in the literature but only partly analyzed. Here, the different algorithms are compared, and the emphasis is put onto the limiting factors and practical behavior of the estimators. Experimental results show that the signal subspace approach may lead to a significant enhancement of the signal to noise ratio of the output signal
Keywords :
noise; speech enhancement; SNR; SVD; algorithms; experimental comparison; informal listening tests; nonparametric speech enhancement; output signal; signal subspace based noise reduction methods; signal to noise ratio; single-microphone speech enhancement; speech quality; Additive noise; Digital signal processing; Distortion; Least squares approximation; Mathematical model; Matrix decomposition; Noise reduction; Signal processing algorithms; Signal to noise ratio; Speech enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
ISSN :
1520-6149
Print_ISBN :
0-7803-5041-3
Type :
conf
DOI :
10.1109/ICASSP.1999.758072
Filename :
758072
Link To Document :
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