Title | ||
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Single-channel noise reduction in the STFT domain from the fullband output SNR perspective. |
Abstract | ||
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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. |
Year | Venue | Keywords |
---|---|---|
2016 | European Signal Processing Conference | Noise reduction,speech enhancement,STFT domain,optimal gains,fullband output SNR,ideal binary mask |
Field | DocType | ISSN |
Wiener filter,Noise reduction,Median filter,Noise (signal processing),Noise measurement,Computer science,Signal-to-noise ratio,Algorithm,Salt-and-pepper noise,Speech recognition,Gradient noise | Conference | 2076-1465 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Yingke Zhao | 1 | 0 | 1.01 |
Jacob Benesty | 2 | 1386 | 136.42 |
Jingdong Chen | 3 | 1460 | 128.79 |