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2020 – today
- 2024
[j6]Andong Li, Guochen Yu, Zhongweiyang Xu, Cunhang Fan, Xiaodong Li, Chengshi Zheng
:
TaBE: Decoupling spatial and spectral processing with Taylor's unfolding method in the beamspace domain for multi-channel speech enhancement. Inf. Fusion 101: 101976 (2024)- [c14]Guochen Yu, Runqiang Han, Chenglin Xu, Haoran Zhao, Nan Li, Chen Zhang, Xiguang Zheng, Chao Zhou, Qi Huang, Bing Yu:
Ks-Net: Multi-Band Joint Speech Restoration and Enhancement Network for 2024 ICASSP SSI Challenge. ICASSP Workshops 2024: 33-34 - [c13]Nan Li, Guochen Yu, Chen Zhang, Chao Zhou, Qi Huang, Bing Yu:
Multi-Stage Training For Cross-Domain Full-Band Audio Packet Loss Concealment. ICASSP Workshops 2024: 35-36 - [c12]Guochen Yu, Xiguang Zheng, Nan Li, Runqiang Han, Chengshi Zheng, Chen Zhang, Chao Zhou, Qi Huang, Bing Yu:
BAE-Net: a Low Complexity and High Fidelity Bandwidth-Adaptive Neural Network for Speech Super-Resolution. ICASSP 2024: 571-575 - [i15]Guochen Yu, Runqiang Han, Chenglin Xu, Haoran Zhao, Nan Li, Chen Zhang, Xiguang Zheng, Chao Zhou, Qi Huang, Bing Yu:
KS-Net: Multi-band joint speech restoration and enhancement network for 2024 ICASSP SSI Challenge. CoRR abs/2402.01808 (2024) - 2023
- [j5]Andong Li, Guochen Yu, Chengshi Zheng, Wenzhe Liu, Xiaodong Li:
A General Unfolding Speech Enhancement Method Motivated by Taylor's Theorem. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3629-3646 (2023) - [c11]Andong Li, Weixin Meng, Guochen Yu, Wenzhe Liu, Xiaodong Li, Chengshi Zheng:
TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective. INTERSPEECH 2023: 1055-1059 - [c10]Yajun Zhang, Chaoyang Du, Yi Luo, Yang Liu, Guochen Yu, Tianshuang Qiu:
Hybrid TOA/AOA Indoor Positioning Based on Sparse Reconstruction and Map Matching. VTC Fall 2023: 1-6 - [i14]Guochen Yu, Xiguang Zheng, Nan Li, Runqiang Han, Chengshi Zheng, Chen Zhang, Chao Zhou, Qi Huang, Bing Yu:
BAE-Net: A Low complexity and high fidelity Bandwidth-Adaptive neural network for speech super-resolution. CoRR abs/2312.13722 (2023) - 2022
- [j4]Andong Li, Chengshi Zheng, Guochen Yu, Juanjuan Cai, Xiaodong Li:
Filtering and Refining: A Collaborative-Style Framework for Single-Channel Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2156-2172 (2022) - [j3]Guochen Yu, Andong Li, Hui Wang, Yutian Wang, Yuxuan Ke, Chengshi Zheng:
DBT-Net: Dual-Branch Federative Magnitude and Phase Estimation With Attention-in-Attention Transformer for Monaural Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2629-2644 (2022) - [c9]Guochen Yu, Andong Li, Yutian Wang, Yinuo Guo, Hui Wang, Chengshi Zheng:
Joint Magnitude Estimation and Phase Recovery Using Cycle-In-Cycle GAN for Non-Parallel Speech Enhancement. ICASSP 2022: 6967-6971 - [c8]Guochen Yu, Andong Li, Chengshi Zheng, Yinuo Guo, Yutian Wang, Hui Wang:
Dual-Branch Attention-In-Attention Transformer for Single-Channel Speech Enhancement. ICASSP 2022: 7847-7851 - [c7]Xin Liu, Zhongyan Liu, Yuwei Zhao, Yang Liu, Guochen Yu, Shun Na:
Low Complexity DOA Estimation Algorithms Based on Propagator for Massive MIMO Systems. ICCT 2022: 121-126 - [c6]Andong Li, Shan You, Guochen Yu, Chengshi Zheng, Xiaodong Li:
Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement. IJCAI 2022: 4193-4200 - [c5]Yuansheng Guan, Guochen Yu, Andong Li, Chengshi Zheng, Jie Wang:
TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network. INTERSPEECH 2022: 565-569 - [c4]Andong Li, Guochen Yu, Chengshi Zheng, Xiaodong Li:
TaylorBeamformer: Learning All-Neural Beamformer for Multi-Channel Speech Enhancement from Taylor's Approximation Theory. INTERSPEECH 2022: 5413-5417 - [c3]Guochen Yu, Andong Li, Wenzhe Liu, Chengshi Zheng, Yutian Wang, Hui Wang:
Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Full-Band Speech Enhancement. ISCSLP 2022: 483-487 - [i13]Guochen Yu, Andong Li, Hui Wang, Yutian Wang, Yuxuan Ke, Chengshi Zheng:
DBT-Net: Dual-branch federative magnitude and phase estimation with attention-in-attention transformer for monaural speech enhancement. CoRR abs/2202.07931 (2022) - [i12]Guochen Yu, Yuansheng Guan, Weixin Meng, Chengshi Zheng, Hui Wang:
DMF-Net: A decoupling-style multi-band fusion model for real-time full-band speech enhancement. CoRR abs/2203.00472 (2022) - [i11]Andong Li, Guochen Yu, Chengshi Zheng, Xiaodong Li:
TaylorBeamformer: Learning All-Neural Beamformer for Multi-Channel Speech Enhancement from Taylor's Approximation Theory. CoRR abs/2203.07195 (2022) - [i10]Guochen Yu, Andong Li, Wenzhe Liu, Chengshi Zheng, Yutian Wang, Hui Wang:
Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Band Speech Enhancement. CoRR abs/2203.16033 (2022) - [i9]Andong Li, Shan You, Guochen Yu, Chengshi Zheng, Xiaodong Li:
Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement. CoRR abs/2205.00206 (2022) - [i8]Yuansheng Guan, Guochen Yu, Andong Li, Chengshi Zheng, Jie Wang:
TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network. CoRR abs/2207.01255 (2022) - [i7]Andong Li, Guochen Yu, Wenzhe Liu, Xiaodong Li, Chengshi Zheng:
TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective. CoRR abs/2211.12024 (2022) - [i6]Andong Li, Guochen Yu, Chengshi Zheng, Wenzhe Liu, Xiaodong Li:
A General Deep Learning Speech Enhancement Framework Motivated by Taylor's Theorem. CoRR abs/2211.16764 (2022) - 2021
- [j2]Guochen Yu, Yutian Wang, Hui Wang, Qin Zhang, Chengshi Zheng:
A two-stage complex network using cycle-consistent generative adversarial networks for speech enhancement. Speech Commun. 134: 42-54 (2021) - [c2]Guochen Yu, Yutian Wang, Chengshi Zheng, Hui Wang, Qin Zhang:
CycleGAN-based Non-parallel Speech Enhancement with an Adaptive Attention-in-attention Mechanism. APSIPA ASC 2021: 523-529 - [c1]Andong Li, Wenzhe Liu, Xiaoxue Luo, Guochen Yu, Chengshi Zheng, Xiaodong Li:
A Simultaneous Denoising and Dereverberation Framework with Target Decoupling. Interspeech 2021: 2801-2805 - [i5]Andong Li, Wenzhe Liu, Xiaoxue Luo, Guochen Yu, Chengshi Zheng, Xiaodong Li:
A Simultaneous Denoising and Dereverberation Framework with Target Decoupling. CoRR abs/2106.12743 (2021) - [i4]Guochen Yu, Yutian Wang, Chengshi Zheng, Hui Wang, Qin Zhang:
CycleGAN-based Non-parallel Speech Enhancement with an Adaptive Attention-in-attention Mechanism. CoRR abs/2107.13143 (2021) - [i3]Guochen Yu, Yutian Wang, Hui Wang, Qin Zhang, Chengshi Zheng:
A Two-stage Complex Network using Cycle-consistent Generative Adversarial Networks for Speech Enhancement. CoRR abs/2109.02011 (2021) - [i2]Guochen Yu, Andong Li, Yutian Wang, Yinuo Guo, Chengshi Zheng, Hui Wang:
Joint magnitude estimation and phase recovery using Cyle-in-cycle GAN for non-parallel speech enhancement. CoRR abs/2109.12591 (2021) - [i1]Guochen Yu, Andong Li, Yutian Wang, Yinuo Guo, Hui Wang, Chengshi Zheng:
Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement. CoRR abs/2110.06467 (2021) - 2020
- [j1]Yutian Wang, Guochen Yu, Jingling Wang, Hui Wang, Qin Zhang:
Improved Relativistic Cycle-Consistent GAN With Dilated Residual Network and Multi-Attention for Speech Enhancement. IEEE Access 8: 183272-183285 (2020)
Coauthor Index
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