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arXiv · 2201.10809

A two-step backward compatible fullband speech enhancement system

Xu Zhang·Lianwu Chen·Xiguang Zheng·Xinlei Ren·Chen Zhang·Liang Guo·Bing Yu
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Abstract

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

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Xu Zhang, Lianwu Chen, Xiguang Zheng, Xinlei Ren, Chen Zhang, Liang Guo, Bing Yu. 2022-01-26. A two-step backward compatible fullband speech enhancement system. https://arxiv.org/abs/2201.10809

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