Researchers in California have achieved significant breakthrough innovations with AI -based systems. AI -based systems have been demonstrated in real -time individuals restoring their natural languages and using their own voice, especially in the trial and indescribable clinical trial participants.
This innovative technology developed by the teams of UC Berkeley and UC San Francisco combine with a speech that can listen to neurological activities by combining BCI (Brain-Computer Interfaces) and advanced artificial intelligence.
Compared to other recent attempts to make speeches in brain signals, this new system is a major development.
AI -based system (Kaylo Littlejohn, Cheol Jun Cho, etc.
Operating
This system uses a device such as a high -density electrode array that records neuros activity directly on the brain surface. It also works with a fine electrode that penetrates the surface of the brain placed on the face to measure muscle activity. The device uses the brain to measure neuros activity, and AI learns to transform into the voice of the patient’s voice.
Neuroprosthesis samples neur data that controls the brain’s motor cortex, speech production, and the nerve data that decodes the corresponding data to the corresponding data. According to CHEOL JUN Cho, a co -author of the research, neuropathy intercepts signals and motor control that the accident is converted into articulation.
AI -based system (Kaylo Littlejohn, Cheol Jun Cho, etc.
AI allows the paralyzed person to control the robot arm with a brain signal.
Main development
- Real -time voice synthesis: The AI -based model streams the voice that can be understood by the brain in realization time to solve the challenge of waiting time in the voice neuro prosstes. “Streaming approaches bring the same fast voice decoding capacity of devices such as Alexa and SIRI to neuro proses.” Research. This model is decoded in 80ms units of the decoder, enabling the uninterrupted use of the decoder, further increasing the speed.
- Naturalist speech: This technology aims to restore naturalist speeches to enable more fluent and expressive communication.
- Personalized voice: The AI was trained using the patient’s voice before he was injured, creating an audio with the same sound. If the patient does not have a residual vocalization, the researchers fill the missing details using the pre -trained text voice speaker model and the patient’s voice before the damage of the patient.
- Speed and accuracy: The system may start to detoxify the brain signal and output the voice within 2 seconds after the patient attempts to speak.
What is artificial intelligence (AI)?
AI -based system (Kaylo Littlejohn, Cheol Jun Cho, etc.
The exoskeleton helps people who are paralyzed to restore independence.
Overcoming challenge tasks
One of the main challenges was to map the nerve data to the voice output when the patient did not have any residual vocals. The researchers overcame this by using a pre -trained text voice speech model and a patient’s injury voice to write missing details.
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AI -based system (Kaylo Littlejohn, Cheol Jun Cho, etc.
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Influence and future direction
This technology has the potential to greatly improve the quality of life of people with paralysis and ALS. It allows them to convey their needs, express complex ideas, and connect them more naturally with loved ones.
“It’s interesting to be accelerating BCI for practical use in the near future,” said Edward Chang, a UCSF neurological surgeon.
The following steps include ways to increase the processing speed of AI, express output voices, and integrate tones, pitch and volume changes into synthesized speeches. Researchers also aim to decipher paralinguistic features in brain activity to reflect changes in tones, pitch and volume.
Kurt’s main takeout
The amazing thing about this AI is that the brain signal is not translated into any kind of speech. Using your own voice, we aim for natural words. It’s like returning a game changer voice. It provides new hope for effective communication and new connections for many individuals.
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