Author

Frederik Møllskov Trier

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#artificial intelligence Preprint Sep 2026

Decoding Imagined Speech: A Strictly Subject-Independent Approach Using EEG

This study presents a transparent baseline investigation of a multi-class imagined speech EEG dataset under a strictly subject-independent evaluation framework, providing a strong basis for future brain-computer interface studies targeting improved cross-subject generalization in EEG-based imagined speech decoding.

Frederik Møllskov Trier, Xiao-Peng Mao, S. Puthusserypady · 0 citations