▲ | dwa3592 3 days ago | ||||||||||||||||
Y’all are missing a few key points. - There is a ML model which was trained on 31 hours of silently spoken text. That’s the training data. You still need to know the red fruit in front of you is called apple bc that’s what the model is trained on. So you must be literate to get this working. - The accuracy in the paper is on a very small text type, numerals. As much as I could understand, they asked users to do mathematical operations and they checked the accuracy on that. Someone with a deeper understanding please correct me. - Most of the video demo(honestly) is meh, once you have the text input for a LLM, you are limited to what the LLM can do. The real deal is the ml model that translates the neuromuscular signals to actual words. Those signals must be super noisy. So training a model with only 31 hours of data is a bit surprising and impressive. But the model would probably require calibration for each user’s silent voice, like say this sentence silently , “a quick brown fox jumped over the rope”. I think this will be cool. - I really hope this tech works. I really really hope they don’t sell to big tech jerks like Meta. I really really really hope this tech removes screens from our lives(or at least a step in the right direction). | |||||||||||||||||
▲ | crooked-v 3 days ago | parent | next [-] | ||||||||||||||||
> So you must be literate to get this working. Literacy is about written text, not spoken words. I think you've confused it with fluency. | |||||||||||||||||
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▲ | dwa3592 3 days ago | parent | prev [-] | ||||||||||||||||
I should have started with- “Congratulations. Very cool tech if works”. |