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- W2034711242 abstract "The multichannel Wiener filter (MWF) is a well-known multi-microphone noise reduction technique, which aims to estimate the speech component in one of the microphone signals. Assuming a single speech source, the rank-one property of the speech correlation matrix can be exploited to derive the so-called rank-one MWF (R1-MWF). In this paper, we present an alternative formulation of the MWF (A-MWF), which exploits the assumed rank-one property of the speech correlation matrix in a different way as the R1-MWF. Furthermore, we present a theoretical robustness analysis of the different MWF formulations in presence of spatially white noise. Experimental results show that similarly to the R1-MWF, the proposed A-MWF is less sensitive to estimation errors of the speech correlation matrix and yields a higher output SNR than the standard MWF." @default.
- W2034711242 created "2016-06-24" @default.
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- W2034711242 date "2014-09-01" @default.
- W2034711242 modified "2023-09-30" @default.
- W2034711242 title "Alternative formulation and robustness analysis of the multichannel wiener filter for spatially distributed microphones" @default.
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- W2034711242 doi "https://doi.org/10.1109/iwaenc.2014.6954008" @default.
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