ISCA Archive ICSLP 2000
ISCA Archive ICSLP 2000

A computation-efficient parameter adaptation algorithm for the generalized spectral subtraction method

Jin-Jie Zhang, Zhi-Gang Cao, Zheng-Xin Ma

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

@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}
}