Abstract
The output SNR is a well-known and accurate measure of the SNR after the filtering/beamforming operation; it is widely used to evaluate all kinds of optimal filters/beamformers for speech enhancement. However, it has never really been fully exploited for the derivation of other noise reduction filters than the classical maximum SNR filter. In this chapter, we first show how the output SNR is related to the fullmode input SNR and, then, derive very interesting filters/beamformers by alternating between two related filters in the maximization and minimization of the output SNR.
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References
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Benesty, J. (2018). On the Output SNR in Speech Enhancement and Beamforming. In: Fundamentals of Speech Enhancement. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-74524-4_5
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DOI: https://doi.org/10.1007/978-3-319-74524-4_5
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