Abstract
In this chapter, we study the best speech enhancement estimator in the time domain. The first part focuses on the single-channel scenario, where important insights are given thanks to different kinds of correlation coefficients; in the linear case, we obtain the well-known Wiener filter whose functioning is explained within this general framework. The second part deals with the best binaural speech enhancement estimator; the approach taken here is by the reformulation of the binaural problem into a monaural one thanks to complex random variables.
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Benesty, J. (2018). Best Speech Enhancement Estimator in the Time Domain. In: Fundamentals of Speech Enhancement. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-74524-4_3
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DOI: https://doi.org/10.1007/978-3-319-74524-4_3
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