Noise Reduction of Snoring Sound by Using Traditional Spectral Subtraction and Wiener Filter

被引：1
作者：
Peng J. [1 ]
Tang Y. [1 ]
机构：
[1] School of Physics and Optoelectronics, South China University of Technology, Guangzhou, 510640, Guangdong
来源：
| 2018年 / South China University of Technology卷 / 46期
关键词：
Noise reduction; Signal-to-noise ratio; Snoring sound; Spectral subtraction; Subspace projection; Wiener filter;
D O I：
10.3969/j.issn.1000-565X.2018.03.015
中图分类号：
学科分类号：
摘要：
A method to improve the signal-to-noise ratio (SNR) of snoring sound is proposed in combination with the traditional spectral subtraction and Wiener filter in this study. Firstly, the noisy snoring signals are slightly enhanced by traditional spectral subtraction by projecting the noisy snoring to noise space and signal space by a method of subspace projection so that the SNR is obtained. Then a transfer function of Wiener filter from SNR is obtained. Finally, when the snoring sound processed by traditional spectral subtraction is filtered by the Wiener filter, the noise in snoring sound can be further reduced. The results of the simulation of snoring sound with additive white noise show that the method used in the study gets a higher SNR than that by the traditional subtraction or Wiener filter. It is proved that the method can do better than the one of traditional subtraction or Wiener filter in noise reduction. © 2018, Editorial Department, Journal of South China University of Technology. All right reserved.
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页码：103 / 107
页数：4
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