Abstract | ||
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This paper studies the multichannel maximum signal-to-noise ratio (SNR) filter for noise reduction in the short-time Fourier transform (STFT) domain. By considering both the interchannel and interframe information, the maximum SNR filter is formulated by maximizing the output SNR with the minimum distortion constraint. Simulations are performed to examine the performance of the deduced multichannel maximum SNR noise reduction filter in different conditions and the results demonstrated that this filter can significantly increase both the SNR and the speech quality. |
Year | Venue | Keywords |
---|---|---|
2015 | 2015 IEEE CHINA SUMMIT & INTERNATIONAL CONFERENCE ON SIGNAL AND INFORMATION PROCESSING | Noise reduction, speech enhancement, multi-channel, maximum SNR filter, short-time Fourier transform (STFT) domain |
Field | DocType | Citations |
Noise reduction,Speech enhancement,Computer science,Signal-to-noise ratio,Short-time Fourier transform,Salt-and-pepper noise,Speech recognition,Fourier transform,Inter frame,Acoustics,Distortion | Conference | 0 |
PageRank | References | Authors |
0.34 | 6 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Gongping Huang | 1 | 76 | 13.39 |
Jacob Benesty | 2 | 1386 | 136.42 |
Jingdong Chen | 3 | 1460 | 128.79 |