Incorporating the Conditional Speech Presence Probability in Multi-Channel Wiener Filter Based Noise Reduction in Hearing Aids

• Published in: EURASIP journal on advances in signal processing 2009-01, Vol.2009 (1), Article 930625
• Main Authors: Ngo, Kim, Spriet, Ann, Moonen, Marc, Wouters, Jan, Jensen, Søren Holdt
• Format: Article
• Language: English
• Subjects: Digital Signal Processing for Hearing Instruments; Engineering; Quantum Information Technology; Research Article; Signal,Image and Speech Processing; Spintronics
• ISSN: 1687-6180; 1687-6172; 1687-6180
• DOI: 10.1155/2009/930625

A multi-channel noise reduction technique is presented based on a Speech Distortion-Weighted Multi-channel Wiener Filter (SDW-MWF) approach that incorporates the conditional Speech Presence Probability (SPP). A traditional SDW-MWF uses a fixed parameter to a trade-off between noise reduction and speech distortion without taking speech presence 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. Incorporating the conditional SPP in SDW-MWF allows to exploit the fact that speech may not be present at all frequencies and at all times, while the noise can indeed be continuously present. In speech dominant segments it is then desirable to have less noise reduction to avoid speech distortion, while in noise dominant segments it is desirable to have as much noise reduction as possible. Experimental results with hearing aid scenarios demonstrate that the proposed SDW-MWF incorporating the conditional SPP improves the signal-to-noise ratio compared to a traditional SDW-MWF.