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KS-Net: Multi-band joint speech restoration and enhancement network for 2024 ICASSP SSI Challenge

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arxiv 2402.01808 v1 pith:L4OUT3IK submitted 2024-02-02 cs.SD eess.AS

Guochen Yu , Runqiang Han , Chenglin Xu , Haoran Zhao , Nan Li , Chen Zhang , Xiguang Zheng , Chao Zhou
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Qi Huang Bing Yu
This is my paper
classification cs.SDeess.AS
keywords speechenhancementrestorationsystemchallengeicasspmulti-bandnetwork
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This paper presents the speech restoration and enhancement system created by the 1024K team for the ICASSP 2024 Speech Signal Improvement (SSI) Challenge. Our system consists of a generative adversarial network (GAN) in complex-domain for speech restoration and a fine-grained multi-band fusion module for speech enhancement. In the blind test set of SSI, the proposed system achieves an overall mean opinion score (MOS) of 3.49 based on ITU-T P.804 and a Word Accuracy Rate (WAcc) of 0.78 for the real-time track, as well as an overall P.804 MOS of 3.43 and a WAcc of 0.78 for the non-real-time track, ranking 1st in both tracks.

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