A joint speech signal enhancement based on singular value decomposition filter after spectral subtraction (SSVD) is proposed in this paper. The residual noise after spectral subtraction, which results for audible musical noise, is reduced further by SVD filter. The matrix size in spectral domain can be reduced half, and larger step-length adopted by SVD filter in spectral domain leads to lower cost, which make sure that the system can work in real-time. A novel speech/pause detector based on entropy(ESPD) is proposed too. The new detector improves the performance of the whole noise suppression system significantly.
Cite as: Lu, W., Zhang, X., Li, Y., Liqin, S., Weibin, Z. (2000) Joint speech signal enhancement based on spectral subtraction and SVD filter. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 4, 656-659, doi: 10.21437/ICSLP.2000-897
@inproceedings{lu00c_icslp,
author={Wenkai Lu and Xuegong Zhang and Yanda Li and Shen Liqin and Zhu Weibin},
title={{Joint speech signal enhancement based on spectral subtraction and SVD filter}},
year=2000,
booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
pages={vol. 4, 656-659},
doi={10.21437/ICSLP.2000-897}
}