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Researchers demonstrated a speech neuroprosthesis that decodes the attempted speech of a man with ALS into text with 97.5% accuracy, enabling him to communicate with his family, friends, and colleagues in his own home.

Speech neuroprosthesis works by deciphering intracortical neural activity during attempted speech into the phonemes being spoken, and then assembling those phonemes into words that are shown on-screen in real time and read aloud in his own voice.

The speech neuroprosthesis worked on the first ever day of use, achieving over 99% word decoding accuracy with a 50-word vocabulary.

On the second day, researchers expanded the vocabulary to over 125,000 words and still achieved over 90% decoding accuracy.

GitHub.
Video.
NEJM An Accurate and Rapidly Calibrating Speech Neuroprosthesis Brain–computer interfaces can enable communication for people with paralysis by transforming cortical activity associated with attempted speech into text on a computer screen. Communication with br...
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