On the relationship of non-parametric methods for coherence function estimation. - Chengshi Zheng; Mingyuan Zhou; Xiaodong Li 002 (Signal Process., 2008)

Acoustical Vehicle Detection Based on Bispectral Entropy. - Ming Bao; Chengshi Zheng; Xiaodong Li 002; Jun Yang 004; Jing Tian (IEEE Signal Process. Lett., 2009)

Speech enhancement based on the structure of noise power spectral density. - Chengshi Zheng; Yi Zhou; Xiaohu Hu; Xiaodong Li 002 (EUSIPCO, 2010)

Robustness analysis of time-domain and frequency-domain adaptive null-forming schemes. - Xiaohu Hu; Shiwei Wang; Yi Zhou; Xiaodong Li 002; Chengshi Zheng (ICICS, 2011)

Two-channel post-filtering based on adaptive smoothing and noise properties. - Chengshi Zheng; Yi Zhou; Xiaohu Hu; Xiaodong Li 002 (ICASSP, 2011)

Evaluation of a sparse coding shrinkage algorithm in normal hearing and hearing impaired listeners. - Jinqiu Sang; Hongmei Hu; Chengshi Zheng; Guoping Li; Mark E. Lutman; Stefan Bleeck (EUSIPCO, 2012)

On second-order statistics of log-periodogram and cepstral coefficients for processes with mixed spectra. - Chengshi Zheng (Signal Process., 2012)

A modified power-level-difference-based noise reduction for dual-microphone headsets. - Shiwei Wang; Xiaohu Hu; Chengshi Zheng; Xiaodong Li 002 (ICICS, 2013)

A Statistical Analysis of Two-Channel Post-Filter Estimators in Isotropic Noise Fields. - Chengshi Zheng; Hao Liu; Renhua Peng; Xiaodong Li 002 (IEEE Trans. Speech Audio Process., 2013)

Statistical analysis of temporal coherence function and its application in howling detection. - Chengshi Zheng; Yuxuan Ke; Renhua Peng; Xiaodong Li 002; Yi Zhou (DSP, 2014)

A Constrained MMSE LP Residual Estimator for Speech Dereverberation in Noisy Environments. - Chengshi Zheng; Renhua Peng; Jian Li; Xiaodong Li 002 (IEEE Signal Process. Lett., 2014)

On Generalized Auto-Spectral Coherence Function and Its Applications to Signal Detection. - Chengshi Zheng; Hefei Yang; Xiaodong Li 002 (IEEE Signal Process. Lett., 2014)

Bandwidth extension for speech acquired by laser Doppler vibrometer with an auxiliary microphone. - Renhua Peng; Chengshi Zheng; Xiaodong Li 002 (ICICS, 2015)

Binaural coherent-to-diffuse-ratio estimation for dereverberation using an ITD model. - Chengshi Zheng; Andreas Schwarz; Walter Kellermann; Xiaodong Li 002 (EUSIPCO, 2015)

Statistical analysis and improvement of coherent-to-diffuse power ratio estimators for dereverberation. - Chengshi Zheng; Xiaodong Li 002; Andreas Schwarz; Walter Kellermann (IWAENC, 2016)

Analysis of Additional Stable Gain by Frequency Shifting for Acoustic Feedback Suppression using Statistical Room Acoustics. - Chengshi Zheng; Christian Hofmann 001; Xiaodong Li 002; Walter Kellermann (IEEE Signal Process. Lett., 2016)

Robust Adaptive Beamforming Using Noise Reduction Preprocessing-Based Fully Automatic Diagonal Loading and Steering Vector Estimation. - Yuxuan Ke; Chengshi Zheng; Renhua Peng; Xiaodong Li 002 (IEEE Access, 2017)

An efficient and robust speech dereverberation method using spherical microphone array. - Jian Li; Jiance Ding; Chengshi Zheng; Xiaodong Li 002 (DSP, 2018)

Long-range speech acquirement and enhancement with dual-point laser Doppler vibrometers. - Renhua Peng; Binbin Xu; Guoteng Li; Chengshi Zheng; Xiaodong Li 002 (DSP, 2018)

A perceptually motivated LP residual estimator in noisy and reverberant environments. - Renhua Peng; Zheng-Hua Tan; Xiaodong Li 002; Chengshi Zheng (Speech Commun., 2018)

Statistical Analysis of the Multichannel Wiener Filter Using a Bivariate Normal Distribution for Sample Covariance Matrices. - Chengshi Zheng; Antoine Deleforge; Xiaodong Li 002; Walter Kellermann (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Convolutional Recurrent Neural Network Based Progressive Learning for Monaural Speech Enhancement. - Andong Li; Chengshi Zheng; Xiaodong Li 002 (CoRR, 2019)

A Supervised Speech enhancement Approach with Residual Noise Control for Voice Communication. - Andong Li; Chengshi Zheng; Xiaodong Li 002 (CoRR, 2019)

A Time-domain Monaural Speech Enhancement with Feedback Learning. - Andong Li; Chengshi Zheng; Linjuan Cheng; Renhua Peng; Xiaodong Li 002 (APSIPA, 2020)

A Recursive Network with Dynamic Attention for Monaural Speech Enhancement. - Andong Li; Chengshi Zheng; Cunhang Fan; Renhua Peng; Xiaodong Li 002 (INTERSPEECH, 2020)

A Time-domain Monaural Speech Enhancement with Recursive Learning. - Andong Li; Chengshi Zheng; Linjuan Cheng; Renhua Peng; Xiaodong Li 002 (CoRR, 2020)

The IOA System for Deep Noise Suppression Challenge using a Framework Combining Dynamic Attention and Recursive Learning. - Andong Li; Chengshi Zheng; Renhua Peng; Linjuan Cheng; Xiaodong Li 002 (CoRR, 2020)

Dynamic Attention Based Generative Adversarial Network with Phase Post-Processing for Speech Enhancement. - Andong Li; Chengshi Zheng; Renhua Peng; Cunhang Fan; Xiaodong Li 002 (CoRR, 2020)

Distributed Node-Specific Block-Diagonal LCMV Beamforming in Wireless Acoustic Sensor Networks. - Xinwei Guo; Minmin Yuan; Chengshi Zheng; Xiaodong Li 002 (CoRR, 2020)

Two Heads Are Better Than One: A Two-Stage Approach for Monaural Noise Reduction in the Complex Domain. - Andong Li; Chengshi Zheng; Renhua Peng; Xiaodong Li 002 (CoRR, 2020)

Wideband sparse Bayesian learning for off-grid binaural sound source localization. - Jiance Ding; Jian Li; Chengshi Zheng; Xiaodong Li 002 (Signal Process., 2020)

A Robust Maximum Likelihood Distortionless Response Beamformer based on a Complex Generalized Gaussian Distribution. - Weixin Meng; Chengshi Zheng; Xiaodong Li 002 (APSIPA ASC, 2021)

CycleGAN-based Non-parallel Speech Enhancement with an Adaptive Attention-in-attention Mechanism. - Guochen Yu; Yutian Wang; Chengshi Zheng; Hui Wang 070; Qin Zhang 009 (APSIPA ASC, 2021)

Learning to Inference with Early Exit in the Progressive Speech Enhancement. - Andong Li; Chengshi Zheng; Lu Zhang 055; Xiaodong Li 002 (EUSIPCO, 2021)

ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network. - Andong Li; Wenzhe Liu; Xiaoxue Luo; Chengshi Zheng; Xiaodong Li 002 (ICASSP, 2021)

ICASSP 2021 Acoustic Echo Cancellation Challenge: Integrated Adaptive Echo Cancellation with Time Alignment and Deep Learning-Based Residual Echo Plus Noise Suppression. - Renhua Peng; Linjuan Cheng; Chengshi Zheng; Xiaodong Li 002 (ICASSP, 2021)

A Simultaneous Denoising and Dereverberation Framework with Target Decoupling. - Andong Li; Wenzhe Liu; Xiaoxue Luo; Guochen Yu; Chengshi Zheng; Xiaodong Li 002 (Interspeech, 2021)

Know Your Enemy, Know Yourself: A Unified Two-Stage Framework for Speech Enhancement. - Wenzhe Liu; Andong Li; Yuxuan Ke; Chengshi Zheng; Xiaodong Li 002 (Interspeech, 2021)

Acoustic Echo Cancellation Using Deep Complex Neural Network with Nonlinear Magnitude Compression and Phase Information. - Renhua Peng; Linjuan Cheng; Chengshi Zheng; Xiaodong Li 002 (Interspeech, 2021)

Glance and Gaze: A Collaborative Learning Framework for Single-channel Speech Enhancement. - Andong Li; Chengshi Zheng; Lu Zhang 055; Xiaodong Li 002 (CoRR, 2021)

Joint magnitude estimation and phase recovery using Cyle-in-cycle GAN for non-parallel speech enhancement. - Guochen Yu; Andong Li; Yutian Wang; Yinuo Guo; Chengshi Zheng; Hui Wang 070 (CoRR, 2021)

Noise-robust blind reverberation time estimation using noise-aware time-frequency masking. - Kaitong Zheng; Chengshi Zheng; Jinqiu Sang; Yulong Zhang; Xiaodong Li 002 (CoRR, 2021)

EmotionBox: a music-element-driven emotional music generation system using Recurrent Neural Network. - Kaitong Zheng; Ruijie Meng; Chengshi Zheng; Xiaodong Li 002; Jinqiu Sang; Juanjuan Cai; Jie Wang (CoRR, 2021)

Low-complexity artificial noise suppression methods for deep learning-based speech enhancement algorithms. - Yuxuan Ke; Andong Li; Chengshi Zheng; Renhua Peng; Xiaodong Li 002 (EURASIP J. Audio Speech Music. Process., 2021)

U2-VC: one-shot voice conversion using two-level nested U-structure. - Fangkun Liu; Hui Wang 070; Renhua Peng; Chengshi Zheng; Xiaodong Li 002 (EURASIP J. Audio Speech Music. Process., 2021)

Distributed node-specific block-diagonal LCMV beamforming in wireless acoustic sensor networks. - Xinwei Guo; Minmin Yuan; Yuxuan Ke; Chengshi Zheng; Xiaodong Li 002 (Signal Process., 2021)

Finite data performance analysis of one-bit MVDR and phase-only MVDR. - Weixin Meng; Yuxuan Ke; Jian Li; Chengshi Zheng; Xiaodong Li 002 (Signal Process., 2021)

Corrigendum to 'Finite data performance analysis of one-bit MVDR and phase-only MVDR' [Signal Processing 183 (2021) Article 108018]. - Weixin Meng; Yuxuan Ke; Jian Li; Chengshi Zheng; Xiaodong Li 002 (Signal Process., 2021)

A two-stage complex network using cycle-consistent generative adversarial networks for speech enhancement. - Guochen Yu; Yutian Wang; Hui Wang 070; Qin Zhang 009; Chengshi Zheng (Speech Commun., 2021)

Two Heads are Better Than One: A Two-Stage Complex Spectral Mapping Approach for Monaural Speech Enhancement. - Andong Li; Wenzhe Liu; Chengshi Zheng; Cunhang Fan; Xiaodong Li 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Embedding and Beamforming: All-Neural Causal Beamformer for Multichannel Speech Enhancement. - Andong Li; Wenzhe Liu; Chengshi Zheng; Xiaodong Li 002 (ICASSP, 2022)

Joint Magnitude Estimation and Phase Recovery Using Cycle-In-Cycle GAN for Non-Parallel Speech Enhancement. - Guochen Yu; Andong Li; Yutian Wang; Yinuo Guo; Hui Wang 070; Chengshi Zheng (ICASSP, 2022)

Dual-Branch Attention-In-Attention Transformer for Single-Channel Speech Enhancement. - Guochen Yu; Andong Li; Chengshi Zheng; Yinuo Guo; Yutian Wang; Hui Wang 070 (ICASSP, 2022)

Taylor, Can You Hear Me Now? A Taylor-Unfolding Framework for Monaural Speech Enhancement. - Andong Li; Shan You; Guochen Yu; Chengshi Zheng; Xiaodong Li 002 (IJCAI, 2022)

A deep complex multi-frame filtering network for stereophonic acoustic echo cancellation. - Linjuan Cheng; Chengshi Zheng; Andong Li; Yuquan Wu; Renhua Peng; Xiaodong Li 002 (INTERSPEECH, 2022)

TMGAN-PLC: Audio Packet Loss Concealment using Temporal Memory Generative Adversarial Network. - Yuansheng Guan; Guochen Yu; Andong Li; Chengshi Zheng; Jie Wang (INTERSPEECH, 2022)

TaylorBeamformer: Learning All-Neural Beamformer for Multi-Channel Speech Enhancement from Taylor's Approximation Theory. - Andong Li; Guochen Yu; Chengshi Zheng; Xiaodong Li 002 (INTERSPEECH, 2022)

Bifurcation and Reunion: A Loss-Guided Two-Stage Approach for Monaural Speech Dereverberation. - Xiaoxue Luo; Chengshi Zheng; Andong Li; Yuxuan Ke; Xiaodong Li 002 (INTERSPEECH, 2022)

Fully Automatic Balance between Directivity Factor and White Noise Gain for Large-scale Microphone Arrays in Diffuse Noise Fields. - Weixin Meng; Chengshi Zheng; Xiaodong Li 002 (INTERSPEECH, 2022)

Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Full-Band Speech Enhancement. - Guochen Yu; Andong Li; Wenzhe Liu; Chengshi Zheng; Yutian Wang; Hui Wang 070 (ISCSLP, 2022)

Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features. - Jun Xue; Cunhang Fan; Zhao Lv; Jianhua Tao 001; Jiangyan Yi; Chengshi Zheng; Zhengqi Wen; Minmin Yuan; Shegang Shao (DDAM@MM, 2022)

A deep complex network with multi-frame filtering for stereophonic acoustic echo cancellation. - Linjuan Cheng; Chengshi Zheng; Andong Li; Renhua Peng; Xiaodong Li 002 (CoRR, 2022)

A Neural Beam Filter for Real-time Multi-channel Speech Enhancement. - Wenzhe Liu; Andong Li; Chengshi Zheng; Xiaodong Li 002 (CoRR, 2022)

Low-latency Monaural Speech Enhancement with Deep Filter-bank Equalizer. - Chengshi Zheng; Wenzhe Liu; Andong Li; Yuxuan Ke; Xiaodong Li 002 (CoRR, 2022)

DMF-Net: A decoupling-style multi-band fusion model for real-time full-band speech enhancement. - Guochen Yu; Yuansheng Guan; Weixin Meng; Chengshi Zheng; Hui Wang 070 (CoRR, 2022)

MDNet: Learning Monaural Speech Enhancement from Deep Prior Gradient. - Andong Li; Chengshi Zheng; Ziyang Zhang; Xiaodong Li 002 (CoRR, 2022)

Optimizing Shoulder to Shoulder: A Coordinated Sub-Band Fusion Model for Real-Time Full-Band Speech Enhancement. - Guochen Yu; Andong Li; Wenzhe Liu; Chengshi Zheng; Yutian Wang; Hui Wang 070 (CoRR, 2022)

TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective. - Andong Li; Guochen Yu; Wenzhe Liu; Xiaodong Li 002; Chengshi Zheng (CoRR, 2022)

A General Deep Learning Speech Enhancement Framework Motivated by Taylor's Theorem. - Andong Li; Guochen Yu; Chengshi Zheng; Wenzhe Liu; Xiaodong Li 002 (CoRR, 2022)

A separation and interaction framework for causal multi-channel speech enhancement. - Wenzhe Liu; Andong Li; Chengshi Zheng; Xiaodong Li 002 (Digit. Signal Process., 2022)

Analysis of trade-offs between magnitude and phase estimation in loss functions for speech denoising and dereverberation. - Xiaoxue Luo; Chengshi Zheng; Andong Li; Yuxuan Ke; Xiaodong Li 002 (Speech Commun., 2022)

A Neural Beamspace-Domain Filter for Real-Time Multi-Channel Speech Enhancement. - Wenzhe Liu; Andong Li; Xiao Wang; Minmin Yuan; Yi Chen; Chengshi Zheng; Xiaodong Li 002 (Symmetry, 2022)

Filtering and Refining: A Collaborative-Style Framework for Single-Channel Speech Enhancement. - Andong Li; Chengshi Zheng; Guochen Yu; Juanjuan Cai; Xiaodong Li 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

DBT-Net: Dual-Branch Federative Magnitude and Phase Estimation With Attention-in-Attention Transformer for Monaural Speech Enhancement. - Guochen Yu; Andong Li; Hui Wang 070; Yutian Wang; Yuxuan Ke; Chengshi Zheng (IEEE ACM Trans. Audio Speech Lang. Process., 2022)

Gesper: A Unified Framework for General Speech Restoration. - Jun Chen 024; Yupeng Shi; Wenzhe Liu; Wei Rao 002; Shulin He; Andong Li; Yannan Wang; Zhiyong Wu 001; Shidong Shang; Chengshi Zheng (ICASSP, 2023)

TaylorBeamixer: Learning Taylor-Inspired All-Neural Multi-Channel Speech Enhancement from Beam-Space Dictionary Perspective. - Andong Li; Weixin Meng; Guochen Yu; Wenzhe Liu; Xiaodong Li 002; Chengshi Zheng (INTERSPEECH, 2023)

Low-complexity Broadband Beampattern Synthesis using Array Response Control. - Jiayi Xu; Jian Li; Weixin Meng; Xiaodong Li 002; Chengshi Zheng (INTERSPEECH, 2023)

A General Unfolding Speech Enhancement Method Motivated by Taylor's Theorem. - Andong Li; Guochen Yu; Chengshi Zheng; Wenzhe Liu; Xiaodong Li 002 (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Modelling individual head-related transfer function (HRTF) based on anthropometric parameters and generic HRTF amplitudes. - Rui Zhang; Ruijie Meng; Jinqiu Sang; Yi Hu; Xiaodong Li 002; Chengshi Zheng (CAAI Trans. Intell. Technol., 2023)

End-to-end neural speaker diarization with an iterative adaptive attractor estimation. - Fengyuan Hao; Xiaodong Li 002; Chengshi Zheng (Neural Networks, 2023)

CompNet: Complementary network for single-channel speech enhancement. - Cunhang Fan; Hongmei Zhang; Andong Li; Wang Xiang; Chengshi Zheng; Zhao Lv; Xiaopei Wu (Neural Networks, 2023)

Parallel processing of distributed beamforming and multichannel linear prediction for speech denoising and deverberation in wireless acoustic sensor networks. - Zhe Han; Yuxuan Ke; Xiaodong Li 002; Chengshi Zheng (EURASIP J. Audio Speech Music. Process., 2023)

A Time-Frequency Band-Split Neural Network For Real-Time Full-Band Packet Loss Concealment. - Lingling Dai; Yuxuan Ke; Huiyong Zhang; Fengyuan Hao; Xiaoxue Luo; Xiaodong Li 002; Chengshi Zheng (ICASSP Workshops, 2024)

Renet: A Time-Frequency Domain General Speech Restoration Network for Icassp 2024 Speech Signal Improvement Challenge. - Fengyuan Hao; Huiyong Zhang; Lingling Dai; Xiaoxue Luo; Xiaodong Li 002; Chengshi Zheng (ICASSP Workshops, 2024)

All Neural Kronecker Product Beamforming for Speech Extraction with Large-Scale Microphone Arrays. - Weixin Meng; Xiaoyu Li; Andong Li; Jian Li; Xiaodong Li 002; Chengshi Zheng (ICASSP, 2024)

BAE-Net: a Low Complexity and High Fidelity Bandwidth-Adaptive Neural Network for Speech Super-Resolution. - Guochen Yu; Xiguang Zheng; Nan Li; Runqiang Han; Chengshi Zheng; Chen Zhang; Chao Zhou; Qi Huang; Bing Yu (ICASSP, 2024)

The Impact of Dynamic Cue and Audio Stimulus Type on Subjective Localization in VR Headsets. - Cheng Chi; Xiaoyu Li; Rui Zhang; Xiaodong Li 002; Chengshi Zheng (ISCSLP, 2024)

Array2BR: An End-to-End Noise-immune Binaural Audio Synthesis from Microphone-array Signals. - Cheng Chi; Xiaoyu Li; Andong Li; Yuxuan Ke; Xiaodong Li 002; Chengshi Zheng (CoRR, 2024)

Frame-wise speech extraction with recursive expectation maximization for partially deformable microphone arrays. - Weixin Meng; Jian Li; Yuhai Ge; Xiaodong Li 002; Chengshi Zheng (Digit. Signal Process., 2024)

X-TF-GridNet: A time-frequency domain target speaker extraction network with adaptive speaker embedding fusion. - Fengyuan Hao; Xiaodong Li 002; Chengshi Zheng (Inf. Fusion, 2024)

Spatial reconstructed local attention Res2Net with F0 subband for fake speech detection. - Cunhang Fan; Jun Xue; Jianhua Tao 001; Jiangyan Yi; Chenglong Wang 001; Chengshi Zheng; Zhao Lv (Neural Networks, 2024)

Geometry Calibration for Deformable Linear Microphone Arrays With Bézier Curve Fitting. - Yuhai Ge; Weixin Meng; Xiaodong Li 002; Chengshi Zheng (IEEE Signal Process. Lett., 2024)

Deep Kronecker Product Beamforming for Large-Scale Microphone Arrays. - Weixin Meng; Xiaoyu Li; Andong Li; Xiaoxue Luo; Shefeng Yan; Xiaodong Li 002; Chengshi Zheng (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

TaBE: Decoupling spatial and spectral processing with Taylor's unfolding method in the beamspace domain for multi-channel speech enhancement. - Andong Li; Guochen Yu; Zhongweiyang Xu; Cunhang Fan; Xiaodong Li 002; Chengshi Zheng (Inf. Fusion, 2024)

BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement. - Cunhang Fan; Enrui Liu; Andong Li; Jianhua Tao 001; Jian Zhou 006; Jiahao Li; Chengshi Zheng; Zhao Lv (AAAI, 2025)

DSINet: Towards Real-Time Target Speaker Extraction with Dynamic Speaker Information Fusion. - Fengyuan Hao; Andong Li; Xiaodong Li 002; Chengshi Zheng (ICASSP, 2025)

BiCG: Binaural Cue Generation from Unified HRTF Datasets. - Xikun Lu; Yilei Wang; Jinqiu Sang; Chengshi Zheng (ICASSP, 2025)

DeepPEM-AFC: An Improved Prediction-Error-Method-based Adaptive Feedback Cancellation with Deep Learning for Hearing Aids. - Xiaofan Zhan; Fengyuan Hao; Xiaodong Li 002; Chengshi Zheng (ICASSP, 2025)

Audiogram-Informed End-to-End Noise Reduction and Wide Dynamic Range Compression for Hearing Aids. - Huiyong Zhang; Brian C. J. Moore; Lingling Dai; Fengyuan Hao; Xiaodong Li 002; Chengshi Zheng (ICASSP, 2025)

Neural Vocoders as Speech Enhancers. - Andong Li; Zhihang Sun; Fengyuan Hao; Xiaodong Li 002; Chengshi Zheng (CoRR, 2025)

NaturalL2S: End-to-End High-quality Multispeaker Lip-to-Speech Synthesis with Differential Digital Signal Processing. - Yifan Liang; Fangkun Liu; Andong Li; Xiaodong Li 002; Chengshi Zheng (CoRR, 2025)

Learning Neural Vocoder from Range-Null Space Decomposition. - Andong Li; Tong Lei; Zhihang Sun; Rilin Chen; Erwei Yin; Xiaodong Li 002; Chengshi Zheng (CoRR, 2025)