An Improved LSA-MMSE Speech Enhancement Approach Based on Auditory Perception

被引：1

作者：

Gong, Linyu ^{[1
]}

Chen, Changxing ^{[1
]}

Chen, Qi ^{[2
]}

Xu, Haoxiang ^{[1
]}

机构：

[1] AF Engn Univ, Coll Sci & Engn, Xian 710051, Shanxi, Peoples R China

[2] Natl Univ Def Technol, Coll Elect Sci & Technol, Changsha 410073, Peoples R China

来源：

2008 INTERNATIONAL SEMINAR ON FUTURE INFORMATION TECHNOLOGY AND MANAGEMENT ENGINEERING, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/FITME.2008.53

中图分类号：

F [经济];

学科分类号：

02 ;

摘要：

Gain function of traditional enhancement algorithm is to estimate every signal spectral component, therefore, this introduce relatively more speech distortion. To improve the effect of speech enhancement at low signal-to-noise ratio (SNR), this paper proposed a optimal speech enhancement scheme. Based on auditory perception properties, no estimator for noise masked spectrum and classical enhancement estimator for noise unmasked spectrum. Then a speech signal estimator is proposed as a weighted sum of the individual estimator in each state, where the weight is related with noise masked probability. Compared with Virag's method and LSA-MMSE estimator, the proposed estimator can suppress the residual noise effectively while keep smaller speech distortion especially at low SNR.

引用

页码：292 / +

页数：2

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