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
收藏
页码：292 / +
页数：2
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