Multichannel noise reduction wiener filter in the Karhunen-Loève expansion domain
نویسندگان
چکیده
This paper explores the noise reduction problem in the KarhunenLoève expansion (KLE) domain from a multichannel perspective. Based on formulations proposed for the design of optimal singlechannel noise reduction in the KLE domain, we formulate the multichannel noise reduction in the KLE domain. Two different performance measures are presented: the noise reduction and speech distortion. The optimal multichannelWiener filter is derived and its performance in terms of noise reduction and speech distortion is compared with the performance of the optimal single-channel Wiener filter. Experimental results show that a significant improvement in performance is obtained when using multiple microphone signals. The multichannel Wiener filter results also in better noise reduction in the presence of coherent noise sources.
منابع مشابه
Study of the Noise-Reduction Problem in the Karhunen-LoÈve Expansion Domain
Noise reduction, which aims at estimating a clean speech from a noisy observation, has long been an active research area. The standard approach to this problem is to obtain the clean speech estimate by linearly filtering the noisy signal. The core issue, then, becomes how to design an optimal linear filter that can significantly suppress noise without introducing perceptually noticeable speech ...
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