Lu Zhang

Orcid: 0000-0002-3469-2899

Affiliations:
  • 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 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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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

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

Learning to Inference with Early Exit in the Progressive Speech Enhancement.
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

Multi-Scale TCN: Exploring Better Temporal DNN Model for Causal Speech Enhancement.
Proceedings of the Interspeech 2020, 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


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