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Speech enhancement methods based on deep learning have surpassed traditionalmethods. While many of these new approaches are operating on the wideband(16kHz) sample rate, a new fullband (48kHz) speech enhancement system isproposed in this paper. Compared to the existing fullband systems that utilizesperceptually motivated features to train the fullband speech enhancement usinga single network structure, the proposed system is a two-step system ensuringgood fullband speech enhancement quality while backward compatible to theexisting wideband systems.

A two-step backward compatible fullband speech enhancement system