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2020 – today
- 2024
[j14]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)- [j13]Zeyun Zhao, Jia Wang, Qian Tao, Andong Li, Yiyang Chen:
An unknown wafer surface defect detection approach based on Incremental Learning for reliability analysis. Reliab. Eng. Syst. Saf. 244: 109966 (2024) - [j12]Weixin Meng, Xiaoyu Li, Andong Li, Xiaoxue Luo, Shefeng Yan, Xiaodong Li, Chengshi Zheng:
Deep Kronecker Product Beamforming for Large-Scale Microphone Arrays. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4537-4553 (2024) - [j11]Andong Li, Zhaohong Deng, Wei Zhang, Zhiyong Xiao, Kup-Sze Choi, Yueying Liu, Shudong Hu, Shitong Wang:
Multiview Transfer Representation Learning With TSK Fuzzy System for EEG Epilepsy Detection. IEEE Trans. Fuzzy Syst. 32(1): 38-52 (2024) - [c22]Weixin Meng, Xiaoyu Li, Andong Li, Jian Li, Xiaodong Li, Chengshi Zheng:
All Neural Kronecker Product Beamforming for Speech Extraction with Large-Scale Microphone Arrays. ICASSP 2024: 8566-8570 - [c21]Andong Li, Rilin Chen, Yu Gu, Chao Weng, Dan Su:
Opine: Leveraging a Optimization-Inspired Deep Unfolding Method for Multi-Channel Speech Enhancement. ICASSP 2024: 11376-11380 - [i29]Zhihang Sun, Andong Li, Rilin Chen, Hao Zhang, Meng Yu, Yi Zhou, Dong Yu:
SMRU: Split-and-Merge Recurrent-based UNet for Acoustic Echo Cancellation and Noise Suppression. CoRR abs/2406.11175 (2024) - [i28]Cheng Chi, Xiaoyu Li, Andong Li, Yuxuan Ke, Xiaodong Li, Chengshi Zheng:
Array2BR: An End-to-End Noise-immune Binaural Audio Synthesis from Microphone-array Signals. CoRR abs/2410.05739 (2024) - 2023
- [j10]Cunhang Fan, Hongmei Zhang, Andong Li, Wang Xiang, Chengshi Zheng, Zhao Lv, Xiaopei Wu:
CompNet: Complementary network for single-channel speech enhancement. Neural Networks 168: 508-517 (2023) - [j9]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) - [c20]Jun Chen, Yupeng Shi, Wenzhe Liu, Wei Rao, Shulin He, Andong Li, Yannan Wang, Zhiyong Wu, Shidong Shang, Chengshi Zheng:
Gesper: A Unified Framework for General Speech Restoration. ICASSP 2023: 1-2 - [c19]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 - [c18]Wenzhe Liu, Yupeng Shi, Jun Chen, Wei Rao, Shulin He, Andong Li, Yannan Wang, Zhiyong Wu:
Gesper: A Restoration-Enhancement Framework for General Speech Reconstruction. INTERSPEECH 2023: 4044-4048 - [i27]Wenzhe Liu, Yupeng Shi, Jun Chen, Wei Rao, Shulin He, Andong Li, Yannan Wang, Zhiyong Wu:
Gesper: A Restoration-Enhancement Framework for General Speech Reconstruction. CoRR abs/2306.08454 (2023) - 2022
- [j8]Wenzhe Liu, Andong Li, Chengshi Zheng, Xiaodong Li:
A separation and interaction framework for causal multi-channel speech enhancement. Digit. Signal Process. 126: 103519 (2022) - [j7]Yingzhong Shi, Andong Li, Zhaohong Deng, Qisheng Yan, Qiongdan Lou, Haoran Chen, Kup-Sze Choi, Shitong Wang:
Double-coupling learning for multi-task data stream classification. Inf. Sci. 613: 494-506 (2022) - [j6]Xiaoxue Luo, Chengshi Zheng, Andong Li, Yuxuan Ke, Xiaodong Li:
Analysis of trade-offs between magnitude and phase estimation in loss functions for speech denoising and dereverberation. Speech Commun. 145: 71-87 (2022) - [j5]Wenzhe Liu, Andong Li, Xiao Wang, Minmin Yuan, Yi Chen, Chengshi Zheng, Xiaodong Li:
A Neural Beamspace-Domain Filter for Real-Time Multi-Channel Speech Enhancement. Symmetry 14(6): 1081 (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) - [c17]Andong Li, Wenzhe Liu, Chengshi Zheng, Xiaodong Li:
Embedding and Beamforming: All-Neural Causal Beamformer for Multichannel Speech Enhancement. ICASSP 2022: 6487-6491 - [c16]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 - [c15]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 - [c14]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 - [c13]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 - [c12]Xiaoxue Luo, Chengshi Zheng, Andong Li, Yuxuan Ke, Xiaodong Li:
Bifurcation and Reunion: A Loss-Guided Two-Stage Approach for Monaural Speech Dereverberation. INTERSPEECH 2022: 2503-2507 - [c11]Linjuan Cheng, Chengshi Zheng, Andong Li, Yuquan Wu, Renhua Peng, Xiaodong Li:
A deep complex multi-frame filtering network for stereophonic acoustic echo cancellation. INTERSPEECH 2022: 2508-2512 - [c10]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 - [c9]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 - [i26]Linjuan Cheng, Chengshi Zheng, Andong Li, Renhua Peng, Xiaodong Li:
A deep complex network with multi-frame filtering for stereophonic acoustic echo cancellation. CoRR abs/2202.01630 (2022) - [i25]Wenzhe Liu, Andong Li, Chengshi Zheng, Xiaodong Li:
A Neural Beam Filter for Real-time Multi-channel Speech Enhancement. CoRR abs/2202.02500 (2022) - [i24]Chengshi Zheng, Wenzhe Liu, Andong Li, Yuxuan Ke, Xiaodong Li:
Low-latency Monaural Speech Enhancement with Deep Filter-bank Equalizer. CoRR abs/2202.06764 (2022) - [i23]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) - [i22]Andong Li, Chengshi Zheng, Ziyang Zhang, Xiaodong Li:
MDNet: Learning Monaural Speech Enhancement from Deep Prior Gradient. CoRR abs/2203.07179 (2022) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]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]Yuxuan Ke, Andong Li, Chengshi Zheng, Renhua Peng, Xiaodong Li:
Low-complexity artificial noise suppression methods for deep learning-based speech enhancement algorithms. EURASIP J. Audio Speech Music. Process. 2021(1): 17 (2021) - [j1]Andong Li, Wenzhe Liu, Chengshi Zheng, Cunhang Fan, Xiaodong Li:
Two Heads are Better Than One: A Two-Stage Complex Spectral Mapping Approach for Monaural Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 29: 1829-1843 (2021) - [c8]Lu Zhang, Mingjiang Wang, Andong Li, Zehua Zhang, Xuyi Zhuang:
Incorporating Multi-Target in Multi-Stage Speech Enhancement Model for Better Generalization. APSIPA ASC 2021: 553-558 - [c7]Andong Li, Chengshi Zheng, Lu Zhang, Xiaodong Li:
Learning to Inference with Early Exit in the Progressive Speech Enhancement. EUSIPCO 2021: 466-470 - [c6]Andong Li, Wenzhe Liu, Xiaoxue Luo, Chengshi Zheng, Xiaodong Li:
ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network. ICASSP 2021: 6628-6632 - [c5]Wenzhe Liu, Andong Li, Yuxuan Ke, Chengshi Zheng, Xiaodong Li:
Know Your Enemy, Know Yourself: A Unified Two-Stage Framework for Speech Enhancement. Interspeech 2021: 186-190 - [c4]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 - [i15]Andong Li, Wenzhe Liu, Xiaoxue Luo, Chengshi Zheng, Xiaodong Li:
ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network. CoRR abs/2102.04198 (2021) - [i14]Andong Li, Chengshi Zheng, Lu Zhang, Xiaodong Li:
Learning to Inference with Early Exit in the Progressive Speech Enhancement. CoRR abs/2106.11730 (2021) - [i13]Andong Li, Chengshi Zheng, Lu Zhang, Xiaodong Li:
Glance and Gaze: A Collaborative Learning Framework for Single-channel Speech Enhancement. CoRR abs/2106.11789 (2021) - [i12]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) - [i11]Andong Li, Wenzhe Liu, Chengshi Zheng, Xiaodong Li:
Embedding and Beamforming: All-neural Causal Beamformer for Multichannel Speech Enhancement. CoRR abs/2109.00265 (2021) - [i10]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) - [i9]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) - [i8]Andong Li, Zhaohong Deng, Qiongdan Lou, Kup-Sze Choi, Hong-Bin Shen, Shitong Wang:
A Novel TSK Fuzzy System Incorporating Multi-view Collaborative Transfer Learning for Personalized Epileptic EEG Detection. CoRR abs/2111.08457 (2021) - 2020
- [c3]Andong Li, Chengshi Zheng, Linjuan Cheng, Renhua Peng, Xiaodong Li:
A Time-domain Monaural Speech Enhancement with Feedback Learning. APSIPA 2020: 769-774 - [c2]Andong Li, Chengshi Zheng, Cunhang Fan, Renhua Peng, Xiaodong Li:
A Recursive Network with Dynamic Attention for Monaural Speech Enhancement. INTERSPEECH 2020: 2422-2426 - [i7]Andong Li, Chengshi Zheng, Linjuan Cheng, Renhua Peng, Xiaodong Li:
A Time-domain Monaural Speech Enhancement with Recursive Learning. CoRR abs/2003.09815 (2020) - [i6]Andong Li, Chengshi Zheng, Cunhang Fan, Renhua Peng, Xiaodong Li:
A Recursive Network with Dynamic Attention for Monaural Speech Enhancement. CoRR abs/2003.12973 (2020) - [i5]Andong Li, Chengshi Zheng, Renhua Peng, Linjuan Cheng, Xiaodong Li:
The IOA System for Deep Noise Suppression Challenge using a Framework Combining Dynamic Attention and Recursive Learning. CoRR abs/2005.05855 (2020) - [i4]Andong Li, Chengshi Zheng, Renhua Peng, Cunhang Fan, Xiaodong Li:
Dynamic Attention Based Generative Adversarial Network with Phase Post-Processing for Speech Enhancement. CoRR abs/2006.07530 (2020) - [i3]Andong Li, Chengshi Zheng, Renhua Peng, Xiaodong Li:
Two Heads Are Better Than One: A Two-Stage Approach for Monaural Noise Reduction in the Complex Domain. CoRR abs/2011.01561 (2020)
2010 – 2019
- 2019
- [c1]Andong Li, Di Wu, De-Shuang Huang, Lijun Zhang:
Convolutional Capsule-Based Network for Person Re-identification. ICIC (1) 2019: 304-311 - [i2]Andong Li, Chengshi Zheng, Xiaodong Li:
Convolutional Recurrent Neural Network Based Progressive Learning for Monaural Speech Enhancement. CoRR abs/1908.10768 (2019) - [i1]Andong Li, Chengshi Zheng, Xiaodong Li:
A Supervised Speech enhancement Approach with Residual Noise Control for Voice Communication. CoRR abs/1912.03679 (2019)
Coauthor Index
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last updated on 2024-12-02 21:29 CET by the dblp team
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