A LSA-MMSE speech enhancement approach incorporating masking properties

被引：1
|
作者：
Chen, Qi [1 ]
Guo, Ying [1 ]
Duan, Yanli [1 ]
Wang, Bo [1 ]
机构：
[1] AFEU, Telecommun Engn Inst, Xian 710077, Peoples R China
来源：
2006 INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CIRCUITS AND SYSTEMS PROCEEDINGS, VOLS 1-4: VOL 1: SIGNAL PROCESSING | 2006年
关键词：
D O I：
10.1109/ICCCAS.2006.284675
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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 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：455 / +
页数：2
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