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2020 – today
- 2024
[j33]Weixin Meng, Jian Li, Yuhai Ge, Xiaodong Li, Chengshi Zheng
:
Frame-wise speech extraction with recursive expectation maximization for partially deformable microphone arrays. Digit. Signal Process. 151: 104530 (2024)- [j32]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) - [j31]Fengyuan Hao, Xiaodong Li, Chengshi Zheng:
X-TF-GridNet: A time-frequency domain target speaker extraction network with adaptive speaker embedding fusion. Inf. Fusion 112: 102550 (2024) - [j30]Cunhang Fan, Jun Xue, Jianhua Tao, Jiangyan Yi, Chenglong Wang, Chengshi Zheng, Zhao Lv:
Spatial reconstructed local attention Res2Net with F0 subband for fake speech detection. Neural Networks 175: 106320 (2024) - [j29]Yuhai Ge, Weixin Meng, Xiaodong Li, Chengshi Zheng:
Geometry Calibration for Deformable Linear Microphone Arrays With Bézier Curve Fitting. IEEE Signal Process. Lett. 31: 1620-1624 (2024) - [c39]Fengyuan Hao, Huiyong Zhang, Lingling Dai, Xiaoxue Luo, Xiaodong Li, Chengshi Zheng:
Renet: A Time-Frequency Domain General Speech Restoration Network for Icassp 2024 Speech Signal Improvement Challenge. ICASSP Workshops 2024: 37-38 - [c38]Lingling Dai, Yuxuan Ke, Huiyong Zhang, Fengyuan Hao, Xiaoxue Luo, Xiaodong Li, Chengshi Zheng:
A Time-Frequency Band-Split Neural Network For Real-Time Full-Band Packet Loss Concealment. ICASSP Workshops 2024: 77-78 - [c37]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 - [c36]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 - 2023
- [j28]Rui Zhang, Ruijie Meng, Jinqiu Sang, Yi Hu, Xiaodong Li, Chengshi Zheng:
Modelling individual head-related transfer function (HRTF) based on anthropometric parameters and generic HRTF amplitudes. CAAI Trans. Intell. Technol. 8(2): 364-378 (2023) - [j27]Zhe Han, Yuxuan Ke, Xiaodong Li, Chengshi Zheng:
Parallel processing of distributed beamforming and multichannel linear prediction for speech denoising and deverberation in wireless acoustic sensor networks. EURASIP J. Audio Speech Music. Process. 2023(1): 25 (2023) - [j26]Fengyuan Hao, Xiaodong Li, Chengshi Zheng:
End-to-end neural speaker diarization with an iterative adaptive attractor estimation. Neural Networks 166: 566-578 (2023) - [j25]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) - [j24]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) - [c35]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 - [c34]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 - [c33]Jiayi Xu, Jian Li, Weixin Meng, Xiaodong Li, Chengshi Zheng:
Low-complexity Broadband Beampattern Synthesis using Array Response Control. INTERSPEECH 2023: 5122-5126 - [i35]Cunhang Fan, Jun Xue, Jianhua Tao, Jiangyan Yi, Chenglong Wang, Chengshi Zheng, Zhao Lv:
Spatial Reconstructed Local Attention Res2Net with F0 Subband for Fake Speech Detection. CoRR abs/2308.09944 (2023) - [i34]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
- [j23]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) - [j22]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) - [j21]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) - [j20]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) - [j19]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) - [c32]Andong Li, Wenzhe Liu, Chengshi Zheng, Xiaodong Li:
Embedding and Beamforming: All-Neural Causal Beamformer for Multichannel Speech Enhancement. ICASSP 2022: 6487-6491 - [c31]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 - [c30]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 - [c29]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 - [c28]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 - [c27]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 - [c26]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 - [c25]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 - [c24]Weixin Meng, Chengshi Zheng, Xiaodong Li:
Fully Automatic Balance between Directivity Factor and White Noise Gain for Large-scale Microphone Arrays in Diffuse Noise Fields. INTERSPEECH 2022: 5433-5437 - [c23]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 - [c22]Jun Xue, Cunhang Fan, Zhao Lv, Jianhua Tao, Jiangyan Yi, Chengshi Zheng, Zhengqi Wen, Minmin Yuan, Shegang Shao:
Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features. DDAM@MM 2022: 19-26 - [i33]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) - [i32]Wenzhe Liu, Andong Li, Chengshi Zheng, Xiaodong Li:
A Neural Beam Filter for Real-time Multi-channel Speech Enhancement. CoRR abs/2202.02500 (2022) - [i31]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) - [i30]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) - [i29]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) - [i28]Andong Li, Chengshi Zheng, Ziyang Zhang, Xiaodong Li:
MDNet: Learning Monaural Speech Enhancement from Deep Prior Gradient. CoRR abs/2203.07179 (2022) - [i27]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) - [i26]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) - [i25]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) - [i24]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) - [i23]Jun Xue, Cunhang Fan, Zhao Lv, Jianhua Tao, Jiangyan Yi, Chengshi Zheng, Zhengqi Wen, Minmin Yuan, Shegang Shao:
Audio Deepfake Detection Based on a Combination of F0 Information and Real Plus Imaginary Spectrogram Features. CoRR abs/2208.01214 (2022) - [i22]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) - [i21]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
- [j18]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) - [j17]Fangkun Liu, Hui Wang, Renhua Peng, Chengshi Zheng, Xiaodong Li:
U2-VC: one-shot voice conversion using two-level nested U-structure. EURASIP J. Audio Speech Music. Process. 2021(1): 40 (2021) - [j16]Weixin Meng, Yuxuan Ke, Jian Li, Chengshi Zheng, Xiaodong Li:
Finite data performance analysis of one-bit MVDR and phase-only MVDR. Signal Process. 183: 108018 (2021) - [j15]Weixin Meng, Yuxuan Ke, Jian Li, Chengshi Zheng, Xiaodong Li:
Corrigendum to 'Finite data performance analysis of one-bit MVDR and phase-only MVDR' [Signal Processing 183 (2021) Article 108018]. Signal Process. 184: 108059 (2021) - [j14]Xinwei Guo, Minmin Yuan, Yuxuan Ke, Chengshi Zheng, Xiaodong Li:
Distributed node-specific block-diagonal LCMV beamforming in wireless acoustic sensor networks. Signal Process. 185: 108085 (2021) - [j13]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) - [j12]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) - [c21]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 - [c20]Weixin Meng, Chengshi Zheng, Xiaodong Li:
A Robust Maximum Likelihood Distortionless Response Beamformer based on a Complex Generalized Gaussian Distribution. APSIPA ASC 2021: 530-535 - [c19]Andong Li, Chengshi Zheng, Lu Zhang, Xiaodong Li:
Learning to Inference with Early Exit in the Progressive Speech Enhancement. EUSIPCO 2021: 466-470 - [c18]Renhua Peng, Linjuan Cheng, Chengshi Zheng, Xiaodong Li:
ICASSP 2021 Acoustic Echo Cancellation Challenge: Integrated Adaptive Echo Cancellation with Time Alignment and Deep Learning-Based Residual Echo Plus Noise Suppression. ICASSP 2021: 146-150 - [c17]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 - [c16]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 - [c15]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 - [c14]Renhua Peng, Linjuan Cheng, Chengshi Zheng, Xiaodong Li:
Acoustic Echo Cancellation Using Deep Complex Neural Network with Nonlinear Magnitude Compression and Phase Information. Interspeech 2021: 4768-4772 - [i20]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) - [i19]Andong Li, Chengshi Zheng, Lu Zhang, Xiaodong Li:
Learning to Inference with Early Exit in the Progressive Speech Enhancement. CoRR abs/2106.11730 (2021) - [i18]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) - [i17]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) - [i16]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) - [i15]Andong Li, Wenzhe Liu, Chengshi Zheng, Xiaodong Li:
Embedding and Beamforming: All-neural Causal Beamformer for Multichannel Speech Enhancement. CoRR abs/2109.00265 (2021) - [i14]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) - [i13]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) - [i12]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) - [i11]Kaitong Zheng, Chengshi Zheng, Jinqiu Sang, Yulong Zhang, Xiaodong Li:
Noise-robust blind reverberation time estimation using noise-aware time-frequency masking. CoRR abs/2112.04726 (2021) - [i10]Kaitong Zheng, Ruijie Meng, Chengshi Zheng, Xiaodong Li, Jinqiu Sang, Juanjuan Cai, Jie Wang:
EmotionBox: a music-element-driven emotional music generation system using Recurrent Neural Network. CoRR abs/2112.08561 (2021) - 2020
- [j11]Jiance Ding, Jian Li, Chengshi Zheng, Xiaodong Li:
Wideband sparse Bayesian learning for off-grid binaural sound source localization. Signal Process. 166 (2020) - [c13]Andong Li, Chengshi Zheng, Linjuan Cheng, Renhua Peng, Xiaodong Li:
A Time-domain Monaural Speech Enhancement with Feedback Learning. APSIPA 2020: 769-774 - [c12]Andong Li, Chengshi Zheng, Cunhang Fan, Renhua Peng, Xiaodong Li:
A Recursive Network with Dynamic Attention for Monaural Speech Enhancement. INTERSPEECH 2020: 2422-2426 - [i9]Andong Li, Chengshi Zheng, Linjuan Cheng, Renhua Peng, Xiaodong Li:
A Time-domain Monaural Speech Enhancement with Recursive Learning. CoRR abs/2003.09815 (2020) - [i8]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) - [i7]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) - [i6]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) - [i5]Xinwei Guo, Minmin Yuan, Chengshi Zheng, Xiaodong Li:
Distributed Node-Specific Block-Diagonal LCMV Beamforming in Wireless Acoustic Sensor Networks. CoRR abs/2010.13334 (2020) - [i4]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
- [i3]Andong Li, Chengshi Zheng, Xiaodong Li:
Convolutional Recurrent Neural Network Based Progressive Learning for Monaural Speech Enhancement. CoRR abs/1908.10768 (2019) - [i2]Andong Li, Chengshi Zheng, Xiaodong Li:
A Supervised Speech enhancement Approach with Residual Noise Control for Voice Communication. CoRR abs/1912.03679 (2019) - 2018
- [j10]Renhua Peng, Zheng-Hua Tan, Xiaodong Li, Chengshi Zheng:
A perceptually motivated LP residual estimator in noisy and reverberant environments. Speech Commun. 96: 129-141 (2018) - [j9]Chengshi Zheng, Antoine Deleforge, Xiaodong Li, Walter Kellermann:
Statistical Analysis of the Multichannel Wiener Filter Using a Bivariate Normal Distribution for Sample Covariance Matrices. IEEE ACM Trans. Audio Speech Lang. Process. 26(5): 951-966 (2018) - [c11]Jian Li, Jiance Ding, Chengshi Zheng, Xiaodong Li:
An efficient and robust speech dereverberation method using spherical microphone array. DSP 2018: 1-5 - [c10]Renhua Peng, Binbin Xu, Guoteng Li, Chengshi Zheng, Xiaodong Li:
Long-range speech acquirement and enhancement with dual-point laser Doppler vibrometers. DSP 2018: 1-5 - 2017
- [j8]Yuxuan Ke, Chengshi Zheng, Renhua Peng, Xiaodong Li:
Robust Adaptive Beamforming Using Noise Reduction Preprocessing-Based Fully Automatic Diagonal Loading and Steering Vector Estimation. IEEE Access 5: 12974-12987 (2017) - 2016
- [j7]Chengshi Zheng, Christian Hofmann, Xiaodong Li, Walter Kellermann:
Analysis of Additional Stable Gain by Frequency Shifting for Acoustic Feedback Suppression using Statistical Room Acoustics. IEEE Signal Process. Lett. 23(1): 159-163 (2016) - [c9]Chengshi Zheng, Xiaodong Li, Andreas Schwarz, Walter Kellermann:
Statistical analysis and improvement of coherent-to-diffuse power ratio estimators for dereverberation. IWAENC 2016: 1-5 - 2015
- [c8]Renhua Peng, Chengshi Zheng, Xiaodong Li:
Bandwidth extension for speech acquired by laser Doppler vibrometer with an auxiliary microphone. ICICS 2015: 1-4 - [c7]Chengshi Zheng, Andreas Schwarz, Walter Kellermann, Xiaodong Li:
Binaural coherent-to-diffuse-ratio estimation for dereverberation using an ITD model. EUSIPCO 2015: 1048-1052 - [i1]Chengshi Zheng, Andreas Schwarz, Walter Kellermann, Xiaodong Li:
Binaural coherent-to-diffuse-ratio estimation for dereverberation using an ITD model. CoRR abs/1506.03604 (2015) - 2014
- [j6]Chengshi Zheng, Hefei Yang, Xiaodong Li:
On Generalized Auto-Spectral Coherence Function and Its Applications to Signal Detection. IEEE Signal Process. Lett. 21(5): 559-563 (2014) - [j5]Chengshi Zheng, Renhua Peng, Jian Li, Xiaodong Li:
A Constrained MMSE LP Residual Estimator for Speech Dereverberation in Noisy Environments. IEEE Signal Process. Lett. 21(12): 1462-1466 (2014) - [c6]Chengshi Zheng, Yuxuan Ke, Renhua Peng, Xiaodong Li, Yi Zhou:
Statistical analysis of temporal coherence function and its application in howling detection. DSP 2014: 856-861 - 2013
- [j4]Chengshi Zheng, Hao Liu, Renhua Peng, Xiaodong Li:
A Statistical Analysis of Two-Channel Post-Filter Estimators in Isotropic Noise Fields. IEEE Trans. Speech Audio Process. 21(2): 336-342 (2013) - [c5]Shiwei Wang, Xiaohu Hu, Chengshi Zheng, Xiaodong Li:
A modified power-level-difference-based noise reduction for dual-microphone headsets. ICICS 2013: 1-5 - 2012
- [j3]Chengshi Zheng:
On second-order statistics of log-periodogram and cepstral coefficients for processes with mixed spectra. Signal Process. 92(10): 2560-2565 (2012) - [c4]Jinqiu Sang, Hongmei Hu, Chengshi Zheng, Guoping Li, Mark E. Lutman, Stefan Bleeck:
Evaluation of a sparse coding shrinkage algorithm in normal hearing and hearing impaired listeners. EUSIPCO 2012: 1074-1078 - 2011
- [c3]Xiaohu Hu, Shiwei Wang, Yi Zhou, Xiaodong Li, Chengshi Zheng:
Robustness analysis of time-domain and frequency-domain adaptive null-forming schemes. ICICS 2011: 1-4 - [c2]Chengshi Zheng, Yi Zhou, Xiaohu Hu, Xiaodong Li:
Two-channel post-filtering based on adaptive smoothing and noise properties. ICASSP 2011: 1745-1748 - 2010
- [c1]Chengshi Zheng, Yi Zhou, Xiaohu Hu, Xiaodong Li:
Speech enhancement based on the structure of noise power spectral density. EUSIPCO 2010: 1519-1523
2000 – 2009
- 2009
- [j2]Ming Bao, Chengshi Zheng, Xiaodong Li, Jun Yang, Jing Tian:
Acoustical Vehicle Detection Based on Bispectral Entropy. IEEE Signal Process. Lett. 16(5): 378-381 (2009) - 2008
- [j1]Chengshi Zheng, Mingyuan Zhou, Xiaodong Li:
On the relationship of non-parametric methods for coherence function estimation. Signal Process. 88(11): 2863-2867 (2008)
Coauthor Index
[j32] [c36] [j25] [j24] [c35] [c34] [j23] [j22] [j21] [j20] [j19] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c23] [i33] [i32] [i31] [i30] [i28] [i27] [i26] [i25] [i24] [i22] [i21] [j18] [j12] [c19] [c17] [c16] [c15] [i20] [i19] [i18] [i17] [i15] [i13] [i12] [c13] [c12] [i9] [i8] [i7] [i6] [i4] [i3] [i2]
[j33] [j32] [j31] [j29] [c39] [c38] [c36] [j28] [j27] [j26] [j24] [c34] [c33] [j23] [j22] [j21] [j20] [c32] [c29] [c27] [c26] [c25] [c24] [i33] [i32] [i31] [i28] [i27] [i25] [i22] [i21] [j18] [j17] [j16] [j15] [j14] [j12] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [i20] [i19] [i18] [i17] [i15] [i11] [i10] [j11] [c13] [c12] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [j10] [j9] [c11] [c10] [j8] [j7] [c9] [c8] [c7] [i1] [j6] [j5] [c6] [j4] [c5] [c3] [c2] [c1] [j2] [j1]
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last updated on 2024-09-06 00:37 CEST by the dblp team
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