Real-time decoding of question-and-answer speech dialogue using human cortical activity.

ABSTRACT: Natural communication often occurs in dialogue, differentially engaging auditory and sensorimotor brain regions during listening and speaking. However, previous attempts to decode speech directly from the human brain typically consider listening or speaking tasks in isolation. Here, human participants listened to questions and responded aloud with answers while we used high-density electrocorticography (ECoG) recordings to detect when they heard or said an utterance and to then decode the utterance's identity. Because certain answers were only plausible responses to certain questions, we could dynamically update the prior probabilities of each answer using the decoded question likelihoods as context. We decode produced and perceived utterances with accuracy rates as high as 61% and 76%, re

SUBMITTER: Moses DA 

PROVIDER: S-EPMC6667454 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature