A stroke survivor speaks again with the help of an experimental brain-computer implant
- Researchers developed a device that translates thoughts about speech into spoken words in real-time, helping those unable to speak.
- The device was tested on a 47-year-old woman who lost her voice after a stroke, using a brain-computer implant during a clinical trial.
- This technology decodes brain signals into fluent sentences without delay, allowing for natural conversation.
- Gopala Anumanchipalli stated that the device 'converts her intent to speak into fluent sentences,' showcasing a major advancement in the field.
258 Articles
258 Articles
Breakthrough implant reads your thoughts and converts them to speech
A new thought-reading brain implant is giving people who can’t speak a chance to communicate again. Developed by researchers at UC Berkeley, this experimental technology can convert neural activity into spoken words with a delay of just a few seconds. It’s one of the closest breakthroughs yet toward real-time thought-to-voice communication. The system works by placing 253 electrodes on the surface of the brain, specifically targeting the motor c…
Teenager re-learns how to walk, talk and swallow after rare brain bleed
Ellie Morris-Davies, now 16, suffered from a brain bleed caused by a cavernoma. A teenage girl who underwent a rare operation in children, which saw medics store part of her skull in her stomach, has re-learned how to walk, talk and swallow. Ellie Morris-Davies, now 16, suffered from a brain bleed caused by a cavernoma – a cluster of abnormal blood vessels that resembles a raspberry – which does not often have symptoms. She had nine surgeries in…
A high-performance speech neuroprosthesis
Speech brain–computer interfaces (BCIs) have the potential to restore rapid communication to people with paralysis by decoding neural activity evoked by attempted speech into text1,2 or sound3,4. Early demonstrations, although promising, have not yet achieved accuracies sufficiently high for communication of unconstrained sentences from a large vocabulary1–7. Here we demonstrate a speech-to-text BCI that records spiking activity from intracortic…
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