Unlocking Speech Through Brain Implant & Machine Learning

In summary, researchers were able to record the thoughts of a person with anarthria by implanting a network of electrodes in the brain and using a machine learning algorithm to decode the thoughts into words displayed on a computer screen. The study had a median word error rate of 25.6% and was able to detect 98% of attempts to produce individual words, with 47.1% accuracy.
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gleem
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TL;DR Summary
An experimental system connecting electrodes implanted in a brain can display words that a person thinks of saying.
In a collaboration of several institutions researchers have been able to record the thoughts of a person with a brain stem stroke resulting in anarthria (an inability to articulate speech) by mplanting network of electrodes in the brain and using a machine learning algorithm to decode the thoughts of words and display them on a computer screen.
https://www.nytimes.com/2021/07/14/...3473&user_id=799d953295eabb464706b7f2130bc45f

 
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Computer science news on Phys.org
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I see the article as being behind a paywall
 
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phinds said:
I see the article as being behind a paywall
I'm able to access the NYT article in the OP link.
 
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RESULTS​

We decoded sentences from the participant’s cortical activity in real time at a median rate of 15.2 words per minute, with a median word error rate of 25.6%. In post hoc analyses, we detected 98% of the attempts by the participant to produce individual words, and we classified words with 47.1% accuracy using cortical signals that were stable throughout the 81-week study period.That's about the state of my typing skills.
 
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1. What is brain implant and how does it work?

Brain implant is a device that is surgically inserted into the brain to help restore lost functions or enhance existing ones. In the context of unlocking speech, the brain implant would be used to decode the signals from the brain related to speech and translate them into words using machine learning algorithms. This would allow individuals who have lost their ability to speak due to conditions such as stroke or paralysis to communicate using their thoughts.

2. How is machine learning used in unlocking speech through brain implant?

Machine learning is used to analyze the signals received from the brain implant and identify patterns that correspond to specific words or phrases. These patterns are then used to create a predictive model that can accurately translate the signals into words. The more data the machine learning algorithm receives, the more accurate it becomes in translating the signals, making it an essential component in unlocking speech through brain implant.

3. What are the potential benefits of unlocking speech through brain implant?

The potential benefits of unlocking speech through brain implant are numerous. It could significantly improve the quality of life for individuals who have lost their ability to speak, allowing them to communicate more effectively with their loved ones and caregivers. It could also open up new opportunities for individuals who are unable to speak, such as participating in job interviews or giving presentations.

4. Are there any risks or side effects associated with brain implant and machine learning?

As with any surgical procedure, there are potential risks and side effects associated with brain implant surgery. These may include infection, bleeding, or damage to surrounding brain tissue. However, with advancements in technology and surgical techniques, the risks have significantly decreased. As for machine learning, there is a risk of error or misinterpretation of signals, but this can be minimized with thorough testing and continuous monitoring of the system.

5. Is unlocking speech through brain implant and machine learning available now?

While there have been significant advancements in this field, the technology is still in the early stages of development and is not widely available yet. Researchers are continuously working to improve the accuracy and safety of brain implant and machine learning technology. However, it is currently being tested in clinical trials and shows promising results, giving hope that it will be available to individuals in need in the near future.

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