Neural Net Makes Eavesdropping Breakthrough
Kevin Poulsen writes on 27B Stroke 6:
Government-funded researchers have discovered a mathematical solution for separating a single voice from a multitude of other sounds and voices -- solving what scientists call the "cocktail party problem," and the rest of us know as Harry Caul's plight in The Conversation.More here.
In research funded by the National Science Foundation and -- big surprise -- the National Security Agency, two math professors from the University of Missouri-Columbia and one from Siemens trained a neural network to reconstruct a voice in a crowd with greater accuracy than existing techniques.
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