Single Channel Speech Separation Using Factorial Dynamics

Hershey, John R., Kristjansson, Trausti, Rennie, Steven, Olsen, Peder A.

Neural Information Processing Systems 

Human listeners have the extraordinary ability to hear and recognize speech even when more than one person is talking. Their machine counterparts have historically been unable to compete with this ability, until now. We present a modelbased system that performs on par with humans in the task of separating speech of two talkers from a single-channel recording.

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