5 citations · 5 across the 3 of their papers we have counts for
4 papers
TFGA-Net: Temporal-Frequency Graph Attention Network for Brain-Controlled Speaker Extraction
Youhao Si, Yuan Liao, Qiushi Han +3
The rapid development of auditory attention decoding (AAD) based on electroencephalography (EEG) signals offers the possibility EEG-driven target speaker extraction. However, how t…
Brainprint-Modulated Target Speaker Extraction
Qiushi Han, Yuan Liao, Youhao Si +1
Achieving robust and personalized performance in neuro-steered Target Speaker Extraction (TSE) remains a significant challenge for next-generation hearing aids. This is primarily d…
Frequency-Based Alignment of EEG and Audio Signals Using Contrastive Learning and SincNet for Auditory Attention Detection
Yuan Liao, Yuhong Zhang, Qiushi Han +5
Humans exhibit a remarkable ability to focus auditory attention in complex acoustic environments, such as cocktail parties. Auditory attention detection (AAD) aims to identify the…
CLDTA: Contrastive Learning based on Diagonal Transformer Autoencoder for Cross-Dataset EEG Emotion Recognition
Yuan Liao, Yuhong Zhang, Shenghuan Wang +5
Recent advances in non-invasive EEG technology have broadened its application in emotion recognition, yielding a multitude of related datasets. Yet, deep learning models struggle t…