A multi-task neural net pre-trained on 220 hours of heterogeneous EEG/EMG decodes silent speech words at 95.3% accuracy in healthy users and 54.5% in one patient, beating single-subject baselines.
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A Silent Speech Decoding System from EEG and EMG with Heterogenous Electrode Configurations
A multi-task neural net pre-trained on 220 hours of heterogeneous EEG/EMG decodes silent speech words at 95.3% accuracy in healthy users and 54.5% in one patient, beating single-subject baselines.