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Chengshi Zheng
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2020 – today
- 2024
- [j34]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) - [j33]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) - [j32]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) - [j31]Cunhang Fan
Spatial reconstructed local attention Res2Net with F0 subband for fake speech detection. Neural Networks 175: 106320 (2024) - [j30]Yuhai Ge
Geometry Calibration for Deformable Linear Microphone Arrays With Bézier Curve Fitting. IEEE Signal Process. Lett. 31: 1620-1624 (2024) - [j29]Weixin Meng
Deep Kronecker Product Beamforming for Large-Scale Microphone Arrays. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4537-4553 (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 - [i36]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
- [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
CompNet: Complementary network for single-channel speech enhancement. Neural Networks 168: 508-517 (2023) - [j24]Andong 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
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
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
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
A Neural Beamspace-Domain Filter for Real-Time Multi-Channel Speech Enhancement. Symmetry 14(6): 1081 (2022) - [j20]Andong 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
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
Joint Magnitude Estimation and Phase Recovery Using Cycle-In-Cycle GAN for Non-Parallel Speech Enhancement. ICASSP 2022: 6967-6971 - [c30]Guochen Yu
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
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
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
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
Distributed node-specific block-diagonal LCMV beamforming in wireless acoustic sensor networks. Signal Process. 185: 108085 (2021) - [j13]Guochen Yu
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
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
ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network. ICASSP 2021: 6628-6632 - [c16]Wenzhe Liu
Know Your Enemy, Know Yourself: A Unified Two-Stage Framework for Speech Enhancement. Interspeech 2021: 186-190 - [c15]Andong Li, Wenzhe Liu
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
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
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
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
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
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
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
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
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
[j33] [j29] [c36] [i36] [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]
[j34] [j33] [j32] [j30] [j29] [c39] [c38] [c36] [i36] [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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