


AI once again demonstrates its outstanding capabilities! Convert brain signals into speech with 100% accuracy
[CNMO News] According to CNMO, scientists from Radboud University and Utrecht University in the Netherlands have made major breakthroughs in the field of neuroengineering. With the help of AI (artificial intelligence), they have successfully transformed human Brain signals are converted into speech that people can hear, with an accuracy of up to 100%. The successful application of this technology has brought new hope to patients who are paralyzed and unable to communicate.
According to reports, researchers use implants and artificial intelligence technology to decode brain signals and predict users’ speech with an accuracy of 92% to 100%. The implementation of this technology requires not only recording brain activity while speaking some words, but also establishing a direct mapping relationship between brain activity and speech. Advanced artificial intelligence models are then used to convert brain activity into audible speech. This means they are not only able to guess what the user is saying, but they can instantly translate those words into understandable sounds. The reconstructed speech even sounds like the voice of a paralyzed person in its intonation and manner of speaking.
In the latest study, researchers conducted listening tests on volunteers to assess the recognizability of synthesized words. Research results show that this technology not only accurately identifies words with an accuracy of 92% to 100%, but also makes the words sound and understand like real voices
Despite the significant advances in this technology, researchers stress that the latest technology still has some limitations. Their goal is to predict the full sentences and paragraphs people want to say based solely on their brain activity. To achieve this goal, more experiments will need to be conducted, more advanced implants developed, larger data sets collected, and more advanced artificial intelligence models created
The success of this research has brought new hope to patients who are paralyzed and unable to communicate, and has also opened up a new path for the development of the field of neuroengineering. In any case, we look forward to more similar breakthroughs in the future for Good news to those who have lost the ability to speak due to illness or injury
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