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Qiquan Zhang
Qiquan Zhang
The University of New South Wales|National University of Singapore|Harbin Institute of Technology
Verificeret mail på unsw.edu.au
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DeepMMSE: A deep learning approach to MMSE-based noise power spectral density estimation
Q Zhang, A Nicolson, M Wang, KK Paliwal, C Wang
IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1404-1415, 2020
1462020
Learning reinforced attentional representation for end-to-end visual tracking
P Gao, Q Zhang, F Wang, L Xiao, H Fujita, Y Zhang
Information Sciences 517, 52-67, 2020
1002020
Dynamic entropy-based pattern learning to identify emotions from EEG signals across individuals
Y Lu, M Wang, W Wu, Y Han, Q Zhang, S Chen
Measurement 150, 107003, 2020
692020
A Time-Frequency Attention Module for Neural Speech Enhancement
Q Zhang, X Qian, Z Ni, A Nicolson, E Ambikairajah, H Li
IEEE/ACM Transactions on Audio, Speech, and Language Processing 31, 462-475, 2023
392023
Mamba in Speech: Towards an Alternative to Self-Attention
X Zhang*, Q Zhang*, H Liu*, T Xiao, X Qian, B Ahmed, E Ambikairajah, ...
arXiv preprint arXiv:2405.12609, 2024
342024
Time-Frequency Attention for Monaural Speech Enhancement
Q Zhang, Q Song, Z Ni, A Nicolson, H Li
Proc. ICASSP 2022, 2022
312022
Temporal convolutional network with frequency dimension adaptive attention for speech enhancement
Q Zhang, Q Song, A Nicolson, T Lan, H Li
Proc. INTERSPEECH 2021, 166-170, 2021
272021
PhaseDCN: A phase-enhanced dual-path dilated convolutional network for single-channel speech enhancement
L Zhang, M Wang, Q Zhang, X Wang, M Liu
IEEE/ACM Transactions on Audio, Speech, and Language Processing 29, 2561-2574, 2021
262021
A novel fast nonstationary noise tracking approach based on MMSE spectral power estimator
Q Zhang, M Wang, Y Lu, L Zhang, M Idrees
Digital Signal Processing 88, 41-52, 2019
242019
Auditory attention decoding from electroencephalography based on long short-term memory networks
Y Lu, M Wang, L Yao, H Shen, W Wu, Q Zhang, L Zhang, M Chen, H Liu, ...
Biomedical Signal Processing and Control 70, 102966, 2021
162021
FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation
C Zhang, LF D'Haro, Q Zhang, T Friedrichs, H Li
EMNLP 2022, 2022
152022
Monaural speech enhancement using a multi-branch temporal convolutional network
Q Zhang, A Nicolson, M Wang, KK Paliwal, C Wang
arXiv preprint arXiv:1912.12023, 2019
152019
Identification of auditory object-specific attention from single-trial electroencephalogram signals via entropy measures and machine learning
Y Lu, M Wang, Q Zhang, Y Han
Entropy 20 (5), 386, 2018
152018
Deep Audio-Visual Beamforming for Speaker Localization
X Qian, Q Zhang*, G Guan, W Xue
IEEE Signal Processing Letters 29, 1132-1136, 2022
142022
Speech-Oriented Sparse Attention Denoising for Voice User Interface Toward Industry 5.0
H Zhu, Q Zhang*, P Gao, X Qian
IEEE Transactions on Industrial Informatics 19 (2), 2151-2160, 2022
132022
Fast nonstationary noise tracking based on log-spectral power MMSE estimator and temporal recursive averaging
Q Zhang, M Wang, Y Lu, M Idrees, L Zhang
IEEE Access 7, 80985-80999, 2019
132019
An Empirical Study on the Impact of Positional Encoding in Transformer-based Monaural Speech Enhancement
Q Zhang, M Ge, H Zhu, E Ambikairajah, Q Song, Z Ni, H Li
ICASSP 2024, 2024
112024
Entropy‐Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals
Y Lu, M Wang, W Wu, Q Zhang, Y Han, T Kausar, S Chen, M Liu, B Wang
Complexity 2020 (1), 4625218, 2020
112020
Neural-Free Attention for Monaural Speech Enhancement Towards Voice User Interface for Consumer Electronics
M Chen, Q Zhang*, Q Song, X Qian, R Guo, M Wang, D Chen
IEEE Transactions on Consumer Electronics, 2023
102023
Accelerating the computation of entropy measures by exploiting vectors with dissimilarity
Y Lu, M Wang, R Peng, Q Zhang
Entropy 19 (11), 598, 2017
102017
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Artikler 1–20