A LSA-MMSE Speech Enhancement Approach Incorporating Masking Properties
To improve the effect of single channel speech enhancement at low signal-to-noise ratio (SNR), this paper proposed a optimal speech enhancement scheme. Based on auditory masking effects, the speech spectra estimation is performed in two cases: noisy speech spectra for noise masked and classical spectral subtraction estimate for noise unmasked. Then a speech signal estimator is proposed as a weighted sum of the individual estimator in each state. Compared with Virags method and LSA-MMSE estimator, the proposed estimator can suppress the residual noise effectively while keep smaller speech distortion especially at low SNR.
Qi Chen Ying Guo Yanli Duan Bo Wang
The Telecommunication Engineering Institute AFEU Xian, 710077, China
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
455-458
2006-06-25（万方平台首次上网日期，不代表论文的发表时间）