Speech enhancement with an adaptive Wiener filter

被引：71

作者：

Abd El-Fattah, Marwa ^{[1
]}

Dessouky, Moawad ^{[1
]}

Abbas, Alaa ^{[1
]}

Diab, Salaheldin ^{[1
]}

El-Rabaie, El-Sayed ^{[1
]}

Al-Nuaimy, Waleed ^{[2
]}

Alshebeili, Saleh ^{[3
]}

Abd El-Samie, Fathi ^{[1
,4
]}

机构：

[1] Menoufia Univ, Fac Elect Engn, Dept Elect & Elect Commun, Menoufia 32952, Egypt

[2] Univ Liverpool, Dept Elect Engn & Elect, Liverpool L69 3GJ, Merseyside, England

[3] King Saud Univ, KACST TIC Radio Frequency & Photon E Soc, Dept Elect Engn, RFTONICS, Riyadh, Saudi Arabia

[4] King Saud Univ, KACST TIC Radio Frequency & Photon E Soc, RFTONICS, Riyadh, Saudi Arabia

来源：

INTERNATIONAL JOURNAL OF SPEECH TECHNOLOGY | 2014年 / 17卷 / 01期

关键词：

Speech enhancement; Wiener filter; Spectral subtraction; Wavelet denoising;

D O I：

10.1007/s10772-013-9205-5

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 proposes an adaptive Wiener filtering method for speech enhancement. This method depends on the adaptation of the filter transfer function from sample to sample based on the speech signal statistics; the local mean and the local variance. It is implemented in the time domain rather than in the frequency domain to accommodate for the time-varying nature of the speech signals. The proposed method is compared to the traditional frequency-domain Wiener filtering, spectral subtraction and wavelet denoising methods using different speech quality metrics. The simulation results reveal the superiority of the proposed Wiener filtering method in the case of Additive White Gaussian Noise (AWGN) as well as colored noise.

引用

页码：53 / 64

页数：12

共 21 条

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