Written by Matthew Hudson
Somehow, even in a room full of loud conversations, our brain can focus with one voice on something called Cocktail Party Effects. But it gets taller – or as you get older it’s harder to do that. Now, researchers may have figured out how to use it with a machine learning method called silence and cone of silence.
Computer scientists have trained a neural network that largely mimics the stringing of the brain, detecting and separating the voices of many people speaking in a room. The network did so by measuring how long it took for the microphones to sound in the center of the room.
When researchers tested their system with a loud background noise, they found that the silent cone had two voices. Within 3.7º of their sources, they told an online-only conference this month about cloud information processing systems. This compares with a sensitivity of just 11.500 to the previous advanced technology. When the researchers trained on their new system in additional voices, they conducted the same trick with eight voices — 6.3- sensitivity — even though no more than four could be heard at one time.
Such a system could one day be used on hearing aids, monitoring systems, talking phones or laptops. New technology, this is also possible Monitor mobile voices, By zooming and making your Zoom calls easier The background sound is smooth, From vacuum cleaners to rhombus children.
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