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Multi-microphone noise reduction using interchannel and interframe correlations

: Habets, E.A.P.; Benesty, J.; Chen, J.


IEEE Signal Processing Society:
IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2012. Vol.1 : Kyoto, Japan, 25 - 30 March 2012; Proceedings
New York, NY: IEEE, 2012
ISBN: 978-1-4673-0046-9
ISBN: 978-1-4673-0045-2 (Print)
ISBN: 978-1-4673-0044-5 (Online)
International Conference on Acoustics, Speech and Signal Processing (ICASSP) <37, 2012, Kyoto>
Conference Paper
Fraunhofer IIS ()

Multi-microphone noise reduction methods often operate in the time-frequency domain in which a complex gain is applied to each time-frame and subband. These methods can achieve good noise reduction with little speech distortion by exploiting the fact that the desired signal is correlated across the channels. In the context of single-microphone noise reduction, it has been shown recently that the performance in terms of noise reduction and speech distortion can be improved by exploiting the correlation between subsequent time-frames, i.e., by exploiting the interframe correlation. In this paper, we exploit both interchannel and interframe correlations in the context of multi-microphone noise reduction. Now the interframe correlation is taken into account, i.e., a filter is applied in each subband and channel instead of just a gain. The results of our experimental study show that we can improve the fullband signal-to-noise ratios (SNRs) by using interchannel and interframe correlations when dealing with signals, such as speech, that exhibit a sufficiently large interframe correlation.