Revisiting Representation Learning for Singing Voice Separation with Sinkhorn Distances

6 Jul 2020Stylianos Ioannis MimilakisKonstantinos DrossosGerald Schuller

In this work we present a method for unsupervised learning of audio representations, focused on the task of singing voice separation. We build upon a previously proposed method for learning representations of time-domain music signals with a re-parameterized denoising autoencoder, extending it by using the family of Sinkhorn distances with entropic regularization... (read more)

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