10 citations · 10 across the 2 of their papers we have counts for
2 papers
eess.SP2024
Self-supervised speech representation and contextual text embedding for match-mismatch classification with EEG recording
Bo Wang, Xiran Xu, Zechen Zhang +4
Relating speech to EEG holds considerable importance but is challenging. In this study, a deep convolutional network was employed to extract spatiotemporal features from EEG data.…
eess.SP2024★ 10 cited
ConvConcatNet: a deep convolutional neural network to reconstruct mel spectrogram from the EEG
Xiran Xu, Bo Wang, Yujie Yan +4
To investigate the processing of speech in the brain, simple linear models are commonly used to establish a relationship between brain signals and speech features. However, these l…