Powered by a neural interface, people who are completely paralyzed can now communicate at an impressive rate of 62 words per minute.
In Brief
The voice neural interface successfully decoded spoken language at an impressive speed of 62 words per minute, significantly surpassing the previous record by 3.4 times.
With a vocabulary size of 125,000 words, the interface had an error rate of 23.8%, indicating that it didn’t recognize every spoken word perfectly.
The voice neural interface assisted a paralyzed patient This technology represents a significant leap towards a future where individuals unable to talk because of illness can effectively communicate with their surroundings.
This interface works by connecting to the brain and interpreting mental signals that arise during attempted speech. It translates these signals into text and then employs standard text-to-speech technology to verbalize them. In summary, this breakthrough allows for the decoding of speech at a rate of 62 words per minute, which is 3.4 times faster than the earlier analog benchmarks.
Essentially, this technology is rapidly approaching the conversational speed of a typical human, which is around 160 words per minute.
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While the initial tests of this interface show promising results, researchers are still working towards achieving a higher level of accuracy in transcribing texts from larger vocabularies. The current error rate stands at a noteworthy 23.8% for a pool of 125,000 words, meaning that it still struggles with accurate recognition. However, even being able to comprehend 70% of what a fully paralyzed individual has expressed is quite an accomplishment in itself.
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