De-noising by Gammachirp and Wiener filter-based methods for speech enhancement
by Hajer Rahali; Zied Hajaiej; Noureddine Ellouze
International Journal of Information and Communication Technology (IJICT), Vol. 13, No. 1, 2018

Abstract: In this paper, we propose a method for enhancing of speech corrupted by noise. The new speech enhancement approach combines RASTA, Wiener filter (WF) and the Gammachirp filter (GF) in series connection to construct a two-stage hybrid system (named RASTA-WF-GF) in frequency domain to enhance the speech with additive noise. It is shown that the proposed method significantly outperforms, spectral subtraction (SS), Wiener filter (WF), Kalman filter (KF) and RASTA speech enhancement methods, in the presence of noise.

Online publication date: Wed, 17-Jan-2018

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