An auditory-based adaptive speech enhancement system by neural network according to noise intensity

被引：0
|
作者：
Choi, J [1 ]
Okamoto, J [1 ]
Nakajima, S [1 ]
Suzuki, Y [1 ]
Hosokawa, S [1 ]
机构：
[1] Osaka City Univ, Dept Informat & Commun Engn, Osaka 558, Japan
来源：
42ND MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS, PROCEEDINGS, VOLS 1 AND 2 | 1999年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper presents an adaptive optimizing method applying the auditory mechanism which is called lateral inhibition. This method first estimates noise intensity by neural network, then adjusts adaptively the coefficients of both lateral inhibition and amplitude component according to the noise intensity for each input frame. It is confirmed that this method is effective for speech degraded not only by white noise but also by colored noise, judging from spectral distortion measurement.
引用
收藏
页码：993 / 996
页数：4
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