Andong Li

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 63

Top Topics

Noise Suppression

Reliability Analysis

Speech Enhancement

Top Venues

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

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 (2024)
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 (2024)
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)
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 (2024)
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) (2024)
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)
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 (2023)
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)
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 (2023)
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 (2023)
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)
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)
Andong Li, Wenzhe Liu, Chengshi Zheng, Xiaodong Li
Embedding and Beamforming: All-Neural Causal Beamformer for Multichannel Speech Enhancement. ICASSP (2022)
Wenzhe Liu, Andong Li, Chengshi Zheng, Xiaodong Li
A Neural Beam Filter for Real-time Multi-channel Speech Enhancement. CoRR (2022)
Andong Li, Chengshi Zheng, Ziyang Zhang, Xiaodong Li
MDNet: Learning Monaural Speech Enhancement from Deep Prior Gradient. CoRR (2022)
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 (2022)
Chengshi Zheng, Wenzhe Liu, Andong Li, Yuxuan Ke, Xiaodong Li
Low-latency Monaural Speech Enhancement with Deep Filter-bank Equalizer. CoRR (2022)
Andong Li, Guochen Yu, Chengshi Zheng, Wenzhe Liu, Xiaodong Li
A General Deep Learning Speech Enhancement Framework Motivated by Taylor's Theorem. CoRR (2022)
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)
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)
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 (2022)
Yuansheng Guan, Guochen Yu, Andong Li, Chengshi Zheng, Jie Wang
TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network. CoRR (2022)
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 (2022)
Yuansheng Guan, Guochen Yu, Andong Li, Chengshi Zheng, Jie Wang
TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network. INTERSPEECH (2022)
Andong Li, Guochen Yu, Chengshi Zheng, Xiaodong Li
TaylorBeamformer: Learning All-Neural Beamformer for Multi-Channel Speech Enhancement from Taylor's Approximation Theory. CoRR (2022)
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) (2022)
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)
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)
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 (2022)
Wenzhe Liu, Andong Li, Chengshi Zheng, Xiaodong Li
A separation and interaction framework for causal multi-channel speech enhancement. Digit. Signal Process. 126 (2022)
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 (2022)
Linjuan Cheng, Chengshi Zheng, Andong Li, Renhua Peng, Xiaodong Li
A deep complex network with multi-frame filtering for stereophonic acoustic echo cancellation. CoRR (2022)
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)
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 (2022)
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)
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)
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 (2022)
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 (2022)
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)
Andong Li, Chengshi Zheng, Lu Zhang, Xiaodong Li
Learning to Inference with Early Exit in the Progressive Speech Enhancement. EUSIPCO (2021)
Andong Li, Chengshi Zheng, Lu Zhang, Xiaodong Li
Glance and Gaze: A Collaborative Learning Framework for Single-channel Speech Enhancement. CoRR (2021)
Andong Li, Wenzhe Liu, Xiaoxue Luo, Guochen Yu, Chengshi Zheng, Xiaodong Li
A Simultaneous Denoising and Dereverberation Framework with Target Decoupling. CoRR (2021)
Andong Li, Wenzhe Liu, Xiaoxue Luo, Guochen Yu, Chengshi Zheng, Xiaodong Li
A Simultaneous Denoising and Dereverberation Framework with Target Decoupling. Interspeech (2021)
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 (2021)
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)
Andong Li, Chengshi Zheng, Lu Zhang, Xiaodong Li
Learning to Inference with Early Exit in the Progressive Speech Enhancement. CoRR (2021)
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 (2021)
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) (2021)
Andong Li, Wenzhe Liu, Chengshi Zheng, Xiaodong Li
Embedding and Beamforming: All-neural Causal Beamformer for Multichannel Speech Enhancement. CoRR (2021)
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 (2021)
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 (2021)
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)
Guochen Yu, Andong Li, Yutian Wang, Yinuo Guo, Hui Wang, Chengshi Zheng
Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement. CoRR (2021)
Andong Li, Chengshi Zheng, Linjuan Cheng, Renhua Peng, Xiaodong Li
A Time-domain Monaural Speech Enhancement with Recursive Learning. CoRR (2020)
Andong Li, Chengshi Zheng, Cunhang Fan, Renhua Peng, Xiaodong Li
A Recursive Network with Dynamic Attention for Monaural Speech Enhancement. INTERSPEECH (2020)
Andong Li, Chengshi Zheng, Linjuan Cheng, Renhua Peng, Xiaodong Li
A Time-domain Monaural Speech Enhancement with Feedback Learning. APSIPA (2020)
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 (2020)
Andong Li, Chengshi Zheng, Cunhang Fan, Renhua Peng, Xiaodong Li
A Recursive Network with Dynamic Attention for Monaural Speech Enhancement. CoRR (2020)
Andong Li, Chengshi Zheng, Renhua Peng, Cunhang Fan, Xiaodong Li
Dynamic Attention Based Generative Adversarial Network with Phase Post-Processing for Speech Enhancement. CoRR (2020)
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 (2020)
Andong Li, Di Wu, De-Shuang Huang, Lijun Zhang
Convolutional Capsule-Based Network for Person Re-identification. ICIC (1) (2019)
Andong Li, Chengshi Zheng, Xiaodong Li
Convolutional Recurrent Neural Network Based Progressive Learning for Monaural Speech Enhancement. CoRR (2019)
Andong Li, Chengshi Zheng, Xiaodong Li
A Supervised Speech enhancement Approach with Residual Noise Control for Voice Communication. CoRR (2019)