DocumentCode :
3510798
Title :
Comparison of frequency domain noise reduction strategies based on multichannel Wiener filtering and spatial prediction
Author :
Cornelis, Bram ; Moonen, Marc ; Wouters, Jan
Author_Institution :
Dept. of Electr. Eng., Katholieke Univ. Leuven, Leuven
fYear :
2009
fDate :
19-24 April 2009
Firstpage :
129
Lastpage :
132
Abstract :
In this paper two multichannel noise reduction strategies are compared in the context of binaural hearing aids. Recently a novel noise reduction method based on spatial-temporal prediction (STP) was introduced which showed an improvement over methods based on multichannel Wiener filtering, although at the cost of a higher computational complexity. Whereas this newmethod operates in the time domain, hearing aids typically demand faster frequency domain implementations. In this paper we therefore propose a frequency domain equivalent of the STP method. The performance of the new so-called spatial prediction (SP) method will be compared to a frequency domain implementation of the speech distortion weighted multichannel Wiener filter (SDW-MWF), theoretically as well as based on simulations with a binaural hearing aid configuration. It will be shown that the frequency domain SP method still achieves some improvement over the SDW-MWF, at the cost of higher computational complexity.
Keywords :
Wiener filters; filtering theory; hearing aids; noise abatement; speech processing; Wiener filtering; binaural hearing aids; frequency domain noise; multichannel filtering; multichannel noise; noise reduction strategies; spatial prediction method; spatial-temporal prediction; speech distortion; Auditory system; Computational complexity; Computational modeling; Costs; Frequency domain analysis; Hearing aids; Noise reduction; Predictive models; Speech; Wiener filter; binaural hearing aids; multichannel Wiener filtering; noise reduction; spatial-temporal prediction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on
Conference_Location :
Taipei
ISSN :
1520-6149
Print_ISBN :
978-1-4244-2353-8
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2009.4959537
Filename :
4959537
Link To Document :
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