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A combined multi-channel Wiener filter-based noise reduction and dynamic range compression in hearing aids
Authors:Kim Ngo  Ann SprietMarc Moonen  Jan WoutersSøren Holdt Jensen
Institution:a Department of Electrical Engineering, Katholieke Universiteit Leuven, ESAT-SCD, Kasteelpark Arenberg 10, B-3001 Leuven, Belgium
b Division of Experimental Otorhinolaryngology, Katholieke Universiteit Leuven, ExpORL, O.& N2, Herestraat 49/721, B-3000 Leuven, Belgium
c Department of Electronic Systems, Aalborg University, Niels Jernes Vej 12, DK-9220 Aalborg, Denmark
Abstract:Noise reduction (NR) and dynamic range compression (DRC) are basic components in hearing aids, but generally these components are developed and evaluated independently of each other. Hearing aids typically use a serial concatenation of NR and DRC. However, the DRC in such a concatenation negatively affects the performance of the NR stage: the residual noise after NR receives more amplification compared to the speech, resulting in a signal-to-noise-ratio (SNR) degradation. The integration of NR and DRC has not received a lot of attention so far. In this paper, a multi-channel Wiener filter (MWF)-based approach is presented for speech and noise scenarios, where an MWF-based NR algorithm is combined with DRC. The proposed solution is based on modifying the MWF and the DRC to incorporate the conditional speech presence probability in order to avoid residual noise amplification. The goal is then to analyse any undesired interaction effects by means of objective measures. Experimental results indeed confirm that a serial concatenation of NR and DRC degrades the SNR improvement provided by the NR, whereas the combined approach proposed here shows less degradation of the SNR improvement at a low increase in distortion compared to a serial concatenation.
Keywords:Hearing aids  Noise reduction  Dynamic range compression  Multi-channel Wiener filter  Speech presence probability
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