SPEECH ENHANCEMENT USING AN ADAPTIVE WIENER FILTERING APPROACH | Zendy

Marwa Abd Elfattah | Zendy; Moawad I. Dessouky | Zendy; Salah M. Diab | Zendy; Fathi E. Abd ElSamie | Zendy

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SPEECH ENHANCEMENT USING AN ADAPTIVE WIENER FILTERING APPROACH

Author(s) -

Marwa Abd Elfattah,

Moawad I. Dessouky,

Salah M. Diab,

Fathi E. Abd ElSamie

Publication year - 2008

Publication title -

progress in electromagnetics research m

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.216

H-Index - 31

ISSN - 1937-8726

DOI - 10.2528/pierm08061206

Subject(s) - wiener filter , computer science , speech enhancement , speech recognition , artificial intelligence , noise reduction

—This paper proposes the application of the Wiener filter in an adaptive manner in speech enhancement. The proposed adaptive Wiener filter depends on the adaptation of the filter transfer function from sample to sample based on the speech signal statistics (mean and variance). The adaptive Wiener filter is implemented in time domain rather than in frequency domain to accommodate for the varying nature of the speech signal. The proposed method is compared to the traditional Wiener filter and the spectral subtraction methods and the results reveal its superiority.

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