Abstract
Binaural noise reduction is an important problem in applications where there is a need to produce two “clean” outputs from noisy observations picked up by multiple microphones. But the mitigation of the noise should be made in such a way that no audible distortion is added to the two outputs (this is the same as in the single-channel case) and meanwhile the spatial information of the desired sound source should be preserved so that, after noise reduction, the remote listener will still be able to localize the sound source thanks to his/her binaural hearing mechanism. In this chapter, we approach this problem with the widely linear theory in the time domain, where both the temporal and spatial information is exploited.
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References
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Benesty, J., Chen, J. (2015). Binaural Noise Reduction in the Time Domain. In: A Conceptual Framework for Noise Reduction. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-12955-6_5
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DOI: https://doi.org/10.1007/978-3-319-12955-6_5
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