The background noise in speech is not only objectionable to listeners with proper hearing but also very harmful to those hearing impaired. Hence, there is a strong need to employ speech enhancement to suppress the background noise in speech. In this paper, a computation-efficient parameter-adaptation algorithm is proposed for the generalized spectral subtraction method, which can reduce noise level more significantly.
Cite as: Zhang, J.-J., Cao, Z.-G., Ma, Z.-X. (2000) A computation-efficient parameter adaptation algorithm for the generalized spectral subtraction method. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 4, 716-719, doi: 10.21437/ICSLP.2000-912
@inproceedings{zhang00l_icslp,
author={Jin-Jie Zhang and Zhi-Gang Cao and Zheng-Xin Ma},
title={{A computation-efficient parameter adaptation algorithm for the generalized spectral subtraction method}},
year=2000,
booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
pages={vol. 4, 716-719},
doi={10.21437/ICSLP.2000-912}
}