KS-Net: Multi-band joint speech restoration and enhancement network for 2024 ICASSP SSI Challenge
<|reference_start|>KS-Net: Multi-band joint speech restoration and enhancement network for 2024 ICASSP SSI Challenge: 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.<|reference_end|>
@article{yu2024ks-net:,
    title={KS-Net: Multi-band joint speech restoration and enhancement network for
  2024 ICASSP SSI Challenge},
    author={Guochen Yu, Runqiang Han, Chenglin Xu, Haoran Zhao, Nan Li, Chen
  Zhang, Xiguang Zheng, Chao Zhou, Qi Huang, Bing Yu},
    journal={arXiv preprint arXiv:2402.01808},
    year={2024},
    archivePrefix={arXiv},
    eprint={2402.01808},
    primaryClass={cs.SD eess.AS}
}