Neuroengineers at Columbia University have successfully converted human neural activity into synthesized speech. Led by Dr. Nima Mesgarani, their method involved training a deep-learning algorithm to interpret and synthesize the neural patterns of test subjects. Doing so, they were able to “reconstruct the words a person hears with unprecedented clarity.”

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