6 citations · 6 across the 6 of their papers we have counts for
4 papers · 1 filter
Decoding Stimulus Reconstruction-Based Auditory Attention Robustly in Unbalanced EEG Datasets
Yuanming Zhang, Yayun Liang, Zhibin Lin +1
In the past decade, numerous studies have applied deep neural networks (DNNs) to decode auditory attention (AAD) from Electroencephalogram (EEG) signals via stimulus reconstruction…
Decoding Speech Envelopes from Electroencephalogram with a Contrastive Pearson Correlation Coefficient Loss
Yayun Liang, Yuanming Zhang, Fei Chen +2
Recent advances in reconstructing speech envelopes from Electroencephalogram (EEG) signals have enabled continuous auditory attention decoding (AAD) in multi-speaker environments.…
Auditory Attention Decoding from Ear-EEG Signals: A Dataset with Dynamic Attention Switching and Rigorous Cross-Validation
Yuanming Zhang, Zeyan Song, Jing Lu +2
Recent promising results in auditory attention decoding (AAD) using scalp electroencephalography (EEG) have motivated the exploration of cEEGrid, a flexible and portable ear-EEG sy…
A Lightweight Hybrid Dual Channel Speech Enhancement System under Low-SNR Conditions
Zheng Wang, Xiaobin Rong, Yu Sun +3
Although deep learning based multi-channel speech enhancement has achieved significant advancements, its practical deployment is often limited by constrained computational resource…