A high-performance speech neuroprosthesis.

ABSTRACT: Speech brain-computer interfaces (BCIs) have the potential to restore rapid communication to people with paralysis by decoding neural activity evoked by attempted speech into text^1,2 or sound^3,4. Early demonstrations, although promising, have not yet achieved accuracies sufficiently high for communication of unconstrained sentences from a large vocabulary^1-7. Here we demonstrate a speech-to-text BCI that records spiking activity from intracortical microelectrode arrays. Enabled by these high-resolution recordings, our study participant-who can no longer speak intelligibly owing to amyotrophic lateral sclerosis-achieved a 9.1% word error rate on a 50-word vocabulary (2.7 times fewer errors than the previous state-of-the-art speech BCI²) and a 23.8

SUBMITTER: Willett FR 

PROVIDER: S-EPMC10468393 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature