Michael Michelashvili

Semi-supervised Monaural Singing Voice Separation with a Masking Network Trained on Synthetic Mixtures

We study the problem of semi-supervised singing voice separation, in which the training data contains a set of samples of mixed music (singing and instrumental) and an unmatched set of instrumental music. Our solution employs a single mapping function g, which, applied to a mixed sample, recovers th…