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Chengshi Zheng

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BAE-Net: A Low complexity and high fidelity Bandwidth-Adaptive neural network for speech super-resolution

Dec 21, 2023
Guochen Yu, Xiguang Zheng, Nan Li, Runqiang Han, Chengshi Zheng, Chen Zhang, Chao Zhou, Qi Huang, Bing Yu

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Spatial Reconstructed Local Attention Res2Net with F0 Subband for Fake Speech Detection

Aug 19, 2023
Cunhang Fan, Jun Xue, Jianhua Tao, Jiangyan Yi, Chenglong Wang, Chengshi Zheng, Zhao Lv

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TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective

Nov 30, 2022
Andong Li, Guochen Yu, Wenzhe Liu, Xiaodong Li, Chengshi Zheng

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A General Deep Learning Speech Enhancement Framework Motivated by Taylor's Theorem

Nov 30, 2022
Andong Li, Guochen Yu, Chengshi Zheng, Wenzhe Liu, Xiaodong Li

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Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features

Aug 02, 2022
Jun Xue, Cunhang Fan, Zhao Lv, Jianhua Tao, Jiangyan Yi, Chengshi Zheng, Zhengqi Wen, Minmin Yuan, Shegang Shao

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TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network

Jul 04, 2022
Yuansheng Guan, Guochen Yu, Andong Li, Chengshi Zheng, Jie Wang

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Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement

Apr 30, 2022
Andong Li, Shan You, Guochen Yu, Chengshi Zheng, Xiaodong Li

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Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Band Speech Enhancement

Mar 30, 2022
Guochen Yu, Andong Li, Wenzhe Liu, Chengshi Zheng, Yutian Wang, Hui Wang

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TaylorBeamformer: Learning All-Neural Beamformer for Multi-Channel Speech Enhancement from Taylor's Approximation Theory

Mar 16, 2022
Andong Li, Guochen Yu, Chengshi Zheng, Xiaodong Li

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MDNet: Learning Monaural Speech Enhancement from Deep Prior Gradient

Mar 16, 2022
Andong Li, Chengshi Zheng, Ziyang Zhang, Xiaodong Li

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