AI system restores speech for paralyzed patients using own voice

Researchers in California have achieved an important progress with an AI-powered system that recover natural speech to paralyzed people in real time, using their own voices, especially as clinical trial participants who are severely paralyzed and cannot speak.

This innovative technology developed by teams in UC Berkeley and UC San Francisco combines brain-computer interfaces (BCI) with advanced artificial intelligence to decide the audible activities into audible speech.

By comparing other recent efforts to make speech from brain signals, this new system is a major progress.

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AI-powered system (Kaylo Littlezhan, Cheole June Ch, etc.. Nature Neuroscience 2025)

How does it work

The system uses devices such as high concentration electrode arrays that record neural activities directly from the surface of the brain. It also works with micro electrodes that place on the face to measure the activity of the muscles on the surface of the brain and the electromyography of the non-aggressive surface. These devices tap the brain to measure neural activities, which AI then learned to convert the patient’s voice to the sounds.

Neuropothesis samples neural data from the brain’s motor cortex, the region controls speech production, and AI decodes the data speech. According to the co-leadership author of the study, Chiol June Cho, neuropothesis intercept signals where the thought is translated as a speech and in the middle of motor control.

AI Patient Voice 2

AI-powered system (Kaylo Littlezhan, Cheole June Ch, etc.. Nature Neuroscience 2025)

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Original progress

  • Real-time speech synthesis: The AI-based model flows into the near-reality speech from the brain, adding the challenge of delay in the speech neuropothesis. This “Streaming Approach Alexa and Siri’s neuropostasis bring the same rapid speech decoding capabilities, according to Gopala Aumanchipalli, a co-pre-investigator of the survey. The model decides the neural data in the 80-MS increment, enables the constant use of the decoder, the more growing speed.
  • Naturalist speech: The goal of technology allows to restore naturalist speech, more fluent and expressive communication.
  • Personalized Voice: AI is trained by the patient’s own voice before their injury, creating audio that sounds like them. In cases where patients have no remaining voices, researchers use a pre-educated text-to-spit model and pre-confrontation voice to fill the missing details.
  • Speed ​​and accuracy: The system can start decoding the brain signals and start the output speech by trying to talk within a second, it is a significant improvement over eight-second delay in previous research since 2023.

What is artificial intelligence (AI)?

AI Patient Voice 3

AI-powered system (Kaylo Littlezhan, Cheole June Ch, etc.. Nature Neuroscience 2025)

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The challenges are overcome

One of the main challenges is to mapping neural data on speech output when the patient has no remaining voice. Researchers cut it by using pre-educated text-to-spit models and pre-confrontation voice of the patient to fill the missing details.

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AI Patient Voice 4

AI-powered system (Kaylo Littlezhan, Cheole June Ch, etc.. Nature Neuroscience 2025)

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Impact and the direction of the future

This technology is likely to significantly improve the standard of living for paralysis and conditioned people like ALS. It allows them to communicate with their needs, express complex thoughts and connect them more naturally with loved ones.

UCSF Neurosurgeon Edward Chang says, “It is exciting that the latest AI progress is accelerating BCI for practical real-world use in the near future,” UCSF Neurosurgeon Edward Chang says.

The next steps include expedited AI processing, expression of output voice more expressive and exploring ways to include tones, peach and loud variations in synthetic speech. Researchers have also aimed to decide paralangistic features from brain activity to reflect the changes in tone, pitch and height.

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Cart’s key -techwes

This is the fact that this is really amazing about AI is not just translating brain signals into any kind of speech. It aims for the patient’s own voice for natural speech using his own voice. It’s like giving their voice back, which is a game changer. It gives new hope for effective communication and establish new connections for many persons.

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