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Zhong-Qiu Wang
Zhong-Qiu Wang
Associate Professor, Southern University of Science and Technology
Verified email at sustech.edu.cn - Homepage
Title
Cited by
Cited by
Year
Multi-Channel Deep Clustering: Discriminative Spectral and Spatial Embeddings for Speaker-Independent Speech Separation
ZQ Wang, J Le Roux, J R. Hershey
IEEE International Conference on Acoustics, Speech and Signal Processing, 1-5, 2018
2752018
Alternative Objective Functions for Deep Clustering
ZQ Wang, J Le Roux, J R. Hershey
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018
2252018
Complex Spectral Mapping for Single- and Multi-Channel Speech Enhancement and Robust ASR
ZQ Wang, P Wang, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1778-1787, 2020
2132020
Conditional Diffusion Probabilistic Model for Speech Enhancement
YJ Lu, ZQ Wang, S Watanabe, A Richard, C Yu, Y Tsao
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2022
1602022
A Joint Training Framework for Robust Automatic Speech Recognition
ZQ Wang, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 24, 796-806, 2016
1572016
End-to-End Speech Separation with Unfolded Iterative Phase Reconstruction
ZQ Wang, J Le Roux, DL Wang, J R. Hershey
Proceedings of Interspeech, 2708-2712, 2018
1552018
Combining Spectral and Spatial Features for Deep Learning Based Blind Speaker Separation
ZQ Wang, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27, 457-468, 2019
1512019
Robust Speaker Localization Guided by Deep Learning Based Time-Frequency Masking
ZQ Wang, X Zhang, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27, 178-188, 2019
1252019
Learning Utterance-level Representations for Speech Emotion and Age/Gender Recognition using Deep Neural Networks
ZQ Wang, I Tashev
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2017
1172017
Two-Stage Deep Learning for Noisy-Reverberant Speech Enhancement
Y Zhao, ZQ Wang, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27, 53-62, 2019
1142019
Deep Learning Based Phase Reconstruction for Speaker Separation: A Trigonometric Perspective
ZQ Wang, K Tan, DL Wang
IEEE International Conference on Acoustics, Speech and Signal Processing, 71-75, 2019
1072019
TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech Separation
ZQ Wang, S Cornell, S Choi, Y Lee, BY Kim, S Watanabe
IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 3221-3236, 2023
972023
Deep Learning Based Target Cancellation for Speech Dereverberation
ZQ Wang, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 941-950, 2020
932020
On The Compensation Between Magnitude and Phase in Speech Separation
ZQ Wang, G Wichern, J Le Roux
IEEE Signal Processing Letters 28, 2018-2022, 2021
882021
Multi-Microphone Complex Spectral Mapping for Utterance-Wise and Continuous Speaker Separation
ZQ Wang, P Wang, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2001-2014, 2021
872021
A Speech Enhancement Algorithm by Iterating Single- and Multi-microphone Processing and its Application to Robust ASR
X Zhang, ZQ Wang, DL Wang
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2017
872017
TF-GridNet: Making Time-Frequency Domain Models Great Again for Monaural Speaker Separation
ZQ Wang, S Cornell, S Choi, Y Lee, BY Kim, S Watanabe
IEEE International Conference on Acoustics, Speech and Signal Processing, 2023
742023
Multi-Microphone Complex Spectral Mapping for Speech Dereverberation
ZQ Wang, DL Wang
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2020
682020
Robust Speaker Recognition Based on Single-channel and Multi-channel Speech Enhancement
H Taherian, ZQ Wang, J Chang, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1293-1302, 2020
652020
Neural Spectrospatial Filtering
K Tan, ZQ Wang, DL Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 605-621, 2022
632022
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