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Speech enhancement with an adaptive Wiener filter |
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| Authors: | Marwa A Abd El-Fattah Moawad I Dessouky Alaa M Abbas Salaheldin M Diab El-Sayed M El-Rabaie Waleed Al-Nuaimy Saleh A Alshebeili Fathi E Abd El-samie |
| Affiliation: | 1. Department of Electronics and Electrical Communications, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt 2. Department of Electrical Engineering and Electronics, The University of Liverpool, Liverpool, L69 3GJ, UK 3. Electrical Engineering Department, KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS), King Saud University, Riyadh, Kingdom of Saudi Arabia 4. KACST-TIC in Radio Frequency and Photonics for the e-Society (RFTONICS), King Saud University, Riyadh, Kingdom of Saudi Arabia |
| Abstract: | 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. |
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