Streaming intelligible speech from the brain in real time

A team of researchers from UC Berkeley and UC San Francisco has unlocked a way to restore naturalistic speech for people with severe paralysis. This work solves the long-standing challenge of latency in speech neuroprostheses, the time lag between when a subject attempts to speak and when sound is produced. Using recent advances in artificial intelligence-based modeling, the researchers developed a streaming method that synthesizes brain signals into audible speech in near-real time. Link

This entry was posted in Artificial Intelligence, Human-Machine Interaction. Bookmark the permalink.

Leave a comment