Semi-Supervised Monaural Singing Voice Separation With a Masking Network Trained on Synthetic Mixtures

14 Dec 2018Michael MichelashviliSagie BenaimLior Wolf

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 the underlying instrumental music, and, applied to an instrumental sample, returns the same sample... (read more)

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