3 papers
cs.SD2026
End-to-End Markov State Sequence Learning for Auditory Attention Decoding
Yushan Yashengjiang, Jie Zhang, Miao Sun +3
Auditory attention decoding (AAD) identifies the speaker a listener attends to from neural responses like electroencephalography (EEG), making it a key algorithm in neuro-steered h…
eess.AS2024
Geometry-Constrained EEG Channel Selection for Brain-Assisted Speech Enhancement
Keying Zuo, Qingtian Xu, Jie Zhang +1
Brain-assisted speech enhancement (BASE) aims to extract the target speaker in complex multi-talker scenarios using electroencephalogram (EEG) signals as an assistive modality, as…
eess.AS2024
Sparsity-Driven EEG Channel Selection for Brain-Assisted Speech Enhancement
Jie Zhang, Qing-Tian Xu, Zhen-Hua Ling +1
Speech enhancement is widely used as a front-end to improve the speech quality in many audio systems, while it is hard to extract the target speech in multi-talker conditions witho…