SINGLE-CHANNEL NOISE REDUCTION IN THE STFT DOMAIN FROM THE FULLBAND OUTPUT SNR PERSPECTIVE

被引：0
|
作者：
Zhao, Yingke [1 ,2 ]
Benesty, Jacob [3 ]
Chen, Jingdong [1 ,2 ]
机构：
[1] Northwestern Polytech Univ, CIAIC, 127 Youyi West Rd, Xian 710072, Shaanxi, Peoples R China
[2] Northwestern Polytech Univ, Sch Marine Sci & Technol, 127 Youyi West Rd, Xian 710072, Shaanxi, Peoples R China
[3] Univ Quebec, INRS EMT, 800 Gauchetiere Ouest,Suite 6900, Montreal, PQ H5A 1K6, Canada
来源：
2016 24TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO) | 2016年
关键词：
Noise reduction; speech enhancement; STFT domain; optimal gains; fullband output SNR; ideal binary mask; SPEECH ENHANCEMENT; SUPPRESSION; FILTER;
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 develops a single-channel noise reduction algorithm in the short-time Fourier transform (STFT) domain, which attempts to optimize the fullband output signal-to-noise ratio (SNR). We show that the conventional Wiener filter, the maximum SNR filter, and the ideal binary mask based method are particular cases of the developed algorithm. Simulations are presented to illustrate the properties of this algorithm.
引用
收藏
页码：1956 / 1959
页数：4
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