Conference paper
Experimental Comparison of Signal Subspace Based Noise Reduction Methods
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.
Language: | English |
---|---|
Year: | 1999 |
Pages: | 101-104 |
Proceedings: | 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing |
ISBN: | 0780350413 and 9780780350410 |
ISSN: | 2379190x and 15206149 |
Types: | Conference paper |
DOI: | 10.1109/ICASSP.1999.758072 |
ORCIDs: | Hansen, Per Christian and Sørensen, John Aasted |
Additive noise Digital signal processing Distortion Least squares approximation Mathematical model Matrix decomposition Noise reduction SNR SVD Signal processing algorithms Signal to noise ratio Speech enhancement algorithms experimental comparison informal listening tests noise nonparametric speech enhancement output signal signal subspace based noise reduction methods signal to noise ratio single-microphone speech enhancement speech enhancement speech quality