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Qiquan Zhang
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2020 – today
- 2025
- [j19]Nan Li, Longbiao Wang, Qiquan Zhang, Jianwu Dang:
Dual-stream Noise and Speech Information Perception based Speech Enhancement. Expert Syst. Appl. 261: 125432 (2025) - 2024
- [j18]Xinyuan Qian, Wei Xue, Qiquan Zhang, Ruijie Tao, Haizhou Li:
Deep Cross-Modal Retrieval Between Spatial Image and Acoustic Speech. IEEE Trans. Multim. 26: 4480-4489 (2024) - [c9]Xiangyu Zhang, Hexin Liu, Kaishuai Xu, Qiquan Zhang, Daijiao Liu, Beena Ahmed, Julien Epps:
When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection. EMNLP 2024: 146-158 - [c8]Xiangyu Zhang, Daijiao Liu, Hexin Liu, Qiquan Zhang, Hanyu Meng, Leibny Paola García-Perera, EngSiong Chng, Lina Yao:
Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model. EMNLP 2024: 159-171 - [c7]Qiquan Zhang, Meng Ge, Hongxu Zhu, Eliathamby Ambikairajah, Qi Song, Zhaoheng Ni, Haizhou Li:
An Empirical Study on the Impact of Positional Encoding in Transformer-Based Monaural Speech Enhancement. ICASSP 2024: 1001-1005 - [c6]Xinyuan Qian, Zexu Pan, Qiquan Zhang, Kainan Chen, Shoufeng Lin:
GLMB 3D Speaker Tracking with Video-Assisted Multi-Channel Audio Optimization Functions. ICASSP 2024: 8100-8104 - [i11]Qiquan Zhang, Meng Ge, Hongxu Zhu, Eliathamby Ambikairajah, Qi Song, Zhaoheng Ni, Haizhou Li:
An Empirical Study on the Impact of Positional Encoding in Transformer-based Monaural Speech Enhancement. CoRR abs/2401.09686 (2024) - [i10]Xiangyu Zhang, Daijiao Liu, Hexin Liu, Qiquan Zhang, Hanyu Meng, Leibny Paola García, Eng Siong Chng, Lina Yao:
Speaking in Wavelet Domain: A Simple and Efficient Approach to Speed up Speech Diffusion Model. CoRR abs/2402.10642 (2024) - [i9]Xiangyu Zhang, Hexin Liu, Kaishuai Xu, Qiquan Zhang, Daijiao Liu, Beena Ahmed, Julien Epps:
When LLMs Meets Acoustic Landmarks: An Efficient Approach to Integrate Speech into Large Language Models for Depression Detection. CoRR abs/2402.13276 (2024) - [i8]Xiangyu Zhang, Qiquan Zhang, Hexin Liu, Tianyi Xiao, Xinyuan Qian, Beena Ahmed, Eliathamby Ambikairajah, Haizhou Li, Julien Epps:
Mamba in Speech: Towards an Alternative to Self-Attention. CoRR abs/2405.12609 (2024) - [i7]Hanyu Meng, Qiquan Zhang, Xiangyu Zhang, Vidhyasaharan Sethu, Eliathamby Ambikairajah:
Binaural Selective Attention Model for Target Speaker Extraction. CoRR abs/2406.12236 (2024) - 2023
- [j17]Tingting Wang, Haiyan Guo, Zirui Ge, Qiquan Zhang, Zhen Yang:
An MMSE graph spectral magnitude estimator for speech signals residing on an undirected multiple graph. EURASIP J. Audio Speech Music. Process. 2023(1): 7 (2023) - [j16]Qiquan Zhang, Xinyuan Qian, Zhaoheng Ni, Aaron Nicolson, Eliathamby Ambikairajah, Haizhou Li:
A Time-Frequency Attention Module for Neural Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 31: 462-475 (2023) - [j15]Chen Zhang, Luis Fernando D'Haro, Qiquan Zhang, Thomas Friedrichs, Haizhou Li:
PoE: A Panel of Experts for Generalized Automatic Dialogue Assessment. IEEE ACM Trans. Audio Speech Lang. Process. 31: 1234-1250 (2023) - [j14]Moran Chen, Qiquan Zhang, Qi Song, Xinyuan Qian, Ruijin Guo, Mingjiang Wang, Deying Chen:
Neural-Free Attention for Monaural Speech Enhancement Toward Voice User Interface for Consumer Electronics. IEEE Trans. Consumer Electron. 69(4): 765-774 (2023) - [j13]Hongxu Zhu, Qiquan Zhang, Peng Gao, Xinyuan Qian:
Speech-Oriented Sparse Attention Denoising for Voice User Interface Toward Industry 5.0. IEEE Trans. Ind. Informatics 19(2): 2151-2160 (2023) - [c5]Qiquan Zhang, Hongxu Zhu, Qi Song, Xinyuan Qian, Zhaoheng Ni, Haizhou Li:
Ripple Sparse Self-Attention for Monaural Speech Enhancement. ICASSP 2023: 1-5 - [i6]Qiquan Zhang, Hongxu Zhu, Qi Song, Xinyuan Qian, Zhaoheng Ni, Haizhou Li:
Ripple sparse self-attention for monaural speech enhancement. CoRR abs/2305.08541 (2023) - [i5]Hongxu Zhu, Siqi Cai, Yidi Jiang, Qiquan Zhang, Haizhou Li:
EEG-Derived Voice Signature for Attended Speaker Detection. CoRR abs/2308.14774 (2023) - 2022
- [j12]Tingting Wang, Haiyan Guo, Qiquan Zhang, Zhen Yang:
A new multilayer graph model for speech signals with graph learning. Digit. Signal Process. 122: 103360 (2022) - [j11]Xinyuan Qian, Qiquan Zhang, Guohui Guan, Wei Xue:
Deep Audio-Visual Beamforming for Speaker Localization. IEEE Signal Process. Lett. 29: 1132-1136 (2022) - [c4]Chen Zhang, Luis Fernando D'Haro, Qiquan Zhang, Thomas Friedrichs, Haizhou Li:
FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation. EMNLP 2022: 3336-3355 - [c3]Qiquan Zhang, Qi Song, Zhaoheng Ni, Aaron Nicolson, Haizhou Li:
Time-Frequency Attention for Monaural Speech Enhancement. ICASSP 2022: 7852-7856 - [i4]Chen Zhang, Luis Fernando D'Haro, Qiquan Zhang, Thomas Friedrichs, Haizhou Li:
FineD-Eval: Fine-grained Automatic Dialogue-Level Evaluation. CoRR abs/2210.13832 (2022) - [i3]Chen Zhang, Luis Fernando D'Haro, Qiquan Zhang, Thomas Friedrichs, Haizhou Li:
PoE: a Panel of Experts for Generalized Automatic Dialogue Assessment. CoRR abs/2212.08992 (2022) - 2021
- [j10]Yun Lu, Mingjiang Wang, Longxin Yao, Hongcai Shen, Wanqing Wu, Qiquan Zhang, Lu Zhang, Moran Chen, Hao Liu, Rongchao Peng, Ming Liu, Shixiong Chen:
Auditory attention decoding from electroencephalography based on long short-term memory networks. Biomed. Signal Process. Control. 70: 102966 (2021) - [j9]Lu Zhang, Mingjiang Wang, Qiquan Zhang, Xinsheng Wang, Ming Liu:
PhaseDCN: A Phase-Enhanced Dual-Path Dilated Convolutional Network for Single-Channel Speech Enhancement. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2561-2574 (2021) - [c2]Qiquan Zhang, Qi Song, Aaron Nicolson, Tian Lan, Haizhou Li:
Temporal Convolutional Network with Frequency Dimension Adaptive Attention for Speech Enhancement. Interspeech 2021: 166-170 - [i2]Qiquan Zhang, Qi Song, Zhaoheng Ni, Aaron Nicolson, Haizhou Li:
Time-Frequency Attention for Monaural Speech Enhancement. CoRR abs/2111.07518 (2021) - 2020
- [j8]Yun Lu, Mingjiang Wang, Wanqing Wu, Qiquan Zhang, Yufei Han, Tasleem Kausar, Shixiong Chen, Ming Liu, Bo Wang:
Entropy-Based Pattern Learning Based on Singular Spectrum Analysis Components for Assessment of Physiological Signals. Complex. 2020: 4625218:1-4625218:17 (2020) - [j7]Lu Zhang, Mingjiang Wang, Muhammad Idrees, Qiquan Zhang:
Probability decision-driven speech enhancement algorithm based on human acoustic perception. IET Signal Process. 14(6): 323-332 (2020) - [j6]Peng Gao, Qiquan Zhang, Fei Wang, Liyi Xiao, Hamido Fujita, Yan Zhang:
Learning reinforced attentional representation for end-to-end visual tracking. Inf. Sci. 517: 52-67 (2020) - [j5]Qiquan Zhang, Aaron Nicolson, Mingjiang Wang, Kuldip K. Paliwal, Chenxu Wang:
DeepMMSE: A Deep Learning Approach to MMSE-Based Noise Power Spectral Density Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1404-1415 (2020)
2010 – 2019
- 2019
- [j4]Qiquan Zhang, Mingjiang Wang, Yun Lu, Muhammad Idrees, Lu Zhang:
Fast Nonstationary Noise Tracking Based on Log-Spectral Power MMSE Estimator and Temporal Recursive Averaging. IEEE Access 7: 80985-80999 (2019) - [j3]Qiquan Zhang, Mingjiang Wang, Yun Lu, Lu Zhang, Muhammad Idrees:
A novel fast nonstationary noise tracking approach based on MMSE spectral power estimator. Digit. Signal Process. 88: 41-52 (2019) - [c1]Yun Lu, Mingjiang Wang, Wanqing Wu, Qiquan Zhang, Yufei Han, Ming Liu:
Identification of Emotional Valences via Memory-Informed Deep Neural Network with Entropy Features. ICMSSP 2019: 31-35 - [i1]Peng Gao, Qiquan Zhang, Liyi Xiao, Yan Zhang, Fei Wang:
Learning Reinforced Attentional Representation for End-to-End Visual Tracking. CoRR abs/1908.10009 (2019) - 2018
- [j2]Yun Lu, Mingjiang Wang, Qiquan Zhang, Yufei Han:
Identification of Auditory Object-Specific Attention from Single-Trial Electroencephalogram Signals via Entropy Measures and Machine Learning. Entropy 20(5): 386 (2018) - 2017
- [j1]Yun Lu, Mingjiang Wang, Rong-Chao Peng, Qiquan Zhang:
Accelerating the Computation of Entropy Measures by Exploiting Vectors with Dissimilarity. Entropy 19(11): 598 (2017)
Coauthor Index
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last updated on 2024-11-15 19:32 CET by the dblp team
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