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Neural activity from speech-related regions is sampled across thousands of channels.
A brain-computer interface that turns intended speech into a personalized voice — restoring a channel between inner language and the world.
Watch the original VOICE trial demonstration: intended speech is decoded and rendered through a personalized voice.
Open on YouTube ↗The system is trained on the user’s own speech patterns, then learns to decode silent attempts and imagined words.
Neural activity from speech-related regions is sampled across thousands of channels.
An adaptive model maps patterns to phonemes, words, and sentence intent.
A voice model reconstructs the sound of the person’s natural pre-illness voice.
The decoded phrase is synthesized and played back in near real time.
In Neuralink’s VOICE trial, an ALS participant progressed from training with attempted speech to silently mouthing words, and then to imagining words without moving his mouth.
The important shift is not “reading thoughts” in the abstract. It is rebuilding a specific, trainable communication pathway around the speech intent a person is trying to express.