Semantic Alignment of EEG and Text: A Contrastive Learning Framework for Decoding Imagined Speech
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 as independent labels and do not explicitly exploit relationships among linguistic i…
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- 2026-10-16 04:00 · arXiv cs.LG
Semantic Alignment of EEG and Text: A Contrastive Learning Framework for Decoding Imagined Speech