Brain signals translated into speech using AI

The device transforms brain signals into estimated movements of the vocal tract, and turns these movements into synthetic speech. Speech created by mapping brain activity to movements of the vocal tract and translating them to sound is more easily understood than that produced by mapping brain activity directly to sound, says Stephanie Riès, a neuroscientist at San Diego State University in California. But it’s unclear whether the new speech decoder would work with words that people only think, says Amy Orsborn, a neural engineer at the University of Washington in Seattle.

Source: www.nature.com