Abstract
In this paper, a multi-channel noise reduction algorithm is presented based on a Speech Distortion Weighted Multi-channel Wiener Filter (SDW-MWF) approach that incorporates a flexible weighting factor. A typical SDW-MWF uses a fixed weighting factor to trade-off between noise reduction and speech distortion without taking speech presence or speech absence into account. Consequently, the improvement in noise reduction comes at the cost of a higher speech distortion since the speech dominant segments and the noise dominant segments are weighted equally. Based on a two-state speech model with a noise-only and a speech+noise state, a solution is introduced that allows for a more flexible trade-off between noise reduction and speech distortion. Experimental results with hearing aid scenarios demonstrate that the proposed SDW-MWF incorporating the flexible weighting factor improves the signal-to-noise-ratio with lower speech distortion compared to a typical SDW-MWF and the SDW-MWF incorporating the conditional speech presence probability (SPP).
Original language | English |
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Journal | I E E E International Conference on Acoustics, Speech and Signal Processing. Proceedings |
Pages (from-to) | 2528 - 2531 |
Number of pages | 4 |
ISSN | 1520-6149 |
DOIs | |
Publication status | Published - 2011 |
Event | International Conference on Acoustics, Speech and Signal Processing - Prag, Czech Republic Duration: 22 May 2011 → 27 May 2011 |
Conference
Conference | International Conference on Acoustics, Speech and Signal Processing |
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Country/Territory | Czech Republic |
City | Prag |
Period | 22/05/2011 → 27/05/2011 |