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20232026
most citedMulti-class Decoding of Attended Speaker Direction Using Electroencephalogram and Audio Spatial Spectrum

6 citations · 6 across the 6 of their papers we have counts for

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2 papers · 1 filter

eess.AS2026

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…

eess.AS2026

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.…