Semantic alignment of EEG and text: a contrastive learning framework for decoding imagined speech
Read original on arXiv cs.LG ↗arXiv:2610.20766v1 Announce Type: new Abstract: Imagined speech decoding from EEG offers a promising route toward naturalistic brain-computer interfaces. Traditional closed-set classifiers treat semantic categories...
Original headline: "Semantic Alignment of EEG and Text: A Contrastive Learning Framework for Decoding Imagined Speech"
Timeline
- October 16, 2026 Semantic Alignment of EEG and Text: A Contrastive Learning Framework for Decoding Imagined Speech arXiv cs.LG