A wavelet-based forward BSS algorithm for acoustic noise reduction and speech enhancement |
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Authors: | Khadidja Ghribi Mohamed Djendi Daoued Berkani |
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Institution: | 1. National Polytechnic School of Algiers (NPSA), 10 Rue des Frères OUDEK, El Harrach 16200, Algeria;2. University of Blida 1, Signal Processing and Image Laboratory (LATSI), Route de Soumaa, B.P. 270, Blida 09000, Algeria |
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Abstract: | In this paper, we address the problem of noise reduction and speech enhancement by adaptive filtering algorithm. Recently, the well known forward blind source separation (FBSS) structure has been largely studied and intensively used to reduce acoustic noise components and to enhance speech signal. The FBSS structure is often combined with adaptive algorithms to accelerate the adaptation of the cross-filters, and to improve noise suppression at the output. In this paper, we propose to use a wavelet transform decomposition in the FBSS structure by using a two-channel forward wavelet symmetric adaptive decorrelating (WFSAD) algorithm. The proposed WFSAD algorithm provides a better compromise between time and frequency resolution and improves robustness of the noise reduction process when compared with the classical two-channel forward symmetric adaptive decorrelating (FSAD) algorithm. Simulation results prove the efficiency of the proposed WFBSS algorithm in comparison with conventional ones in terms of several objective and subjective criteria. |
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Keywords: | Noise cancellation Discrete wavelet transform SAD Convolutive mixture Speech enhancement |
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