4 papers
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…
Multi-class Decoding of Attended Speaker Direction Using Electroencephalogram and Audio Spatial Spectrum
Yuanming Zhang, Jing Lu, Fei Chen +3
Decoding the directional focus of an attended speaker from listeners' electroencephalogram (EEG) signals is essential for developing brain-computer interfaces to improve the qualit…