Lu Zhang
Orcid: 0000-0002-3469-2899Affiliations:
- Harbin Institute of Technology at Shenzhen, School of Electronic and Information Engineering, Shenzhen Key Laboratory of Internet of Things Terminal Technology, Shenzhen, China
According to our database1,
Lu Zhang
authored at least 14 papers
between 2019 and 2024.
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Bibliography
2024
Supervised Attention Multi-Scale Temporal Convolutional Network for monaural speech enhancement.
EURASIP J. Audio Speech Music. Process., December, 2024
2023
Lite-RTSE: Exploring a Cost-Effective Lite DNN Model for Real-Time Speech Enhancement in RTC Scenarios.
IEEE Signal Process. Lett., 2023
2022
Contactless sleep apnea detection in snoring signals using hybrid deep neural networks targeted for embedded hardware platform with real-time applications.
Biomed. Signal Process. Control., 2022
FB-MSTCN: A Full-Band Single-Channel Speech Enhancement Method Based on Multi-Scale Temporal Convolutional Network.
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
PhaseDCN: A Phase-Enhanced Dual-Path Dilated Convolutional Network for Single-Channel Speech Enhancement.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
Glance and Gaze: A Collaborative Learning Framework for Single-channel Speech Enhancement.
CoRR, 2021
Deep Interaction between Masking and Mapping Targets for Single-Channel Speech Enhancement.
CoRR, 2021
Auditory attention decoding from electroencephalography based on long short-term memory networks.
Biomed. Signal Process. Control., 2021
Proceedings of the 29th European Signal Processing Conference, 2021
Incorporating Multi-Target in Multi-Stage Speech Enhancement Model for Better Generalization.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2021
2020
Probability decision-driven speech enhancement algorithm based on human acoustic perception.
IET Signal Process., 2020
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
2019
A novel fast nonstationary noise tracking approach based on MMSE spectral power estimator.
Digit. Signal Process., 2019
Fast Nonstationary Noise Tracking Based on Log-Spectral Power MMSE Estimator and Temporal Recursive Averaging.
IEEE Access, 2019