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This study explores the use of machine learning to decode text sentences from covert speech using ECoG signals. The results show that the model trained on overt speech can also be applied to covert speech, making data collection easier and potentially accelerating progress in speech BCI. Anatomical analysis also suggests common signal patterns in certain cortex areas for covert and overt speech.
