UCSF scientists create decoder to translate brain signals to speech

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Saturday, April 27, 2019
UCSF scientists translate brain signals to speech
UCSF scientists have created a computer decoder that can translate brain signals into natural-sounding speech, giving hope to those who can't speak due to brain injury and diseases like Parkinson's, Multiple Sclerosisor Lou Gerhig's disease.

SAN FRANCISCO (KGO) -- An incredible tool has been developed at UC San Francisco. Scientists have created a computer decoder that can translate brain signals into natural-sounding speech.

That means people who have diseases like Parkinson's or Multiple Sclerosis, or have suffered a stroke, or have a traumatic brain injury could someday regain their voice.

The treatment involves a panel of electrodes on the surface of the brain that would record signals associated with speech.

The decoder would then translate the signals into a computerized vocal track that sounds like a natural voice.