Unsupervised training of a deep clustering model for multichannel blind source separation

Lukas Drude, Daniel Hasenklever, Reinhold Haeb-Umbach

We propose a training scheme to train neural network-based source separation algorithms from scratch when parallel clean data is unavailable. In particular, we demonstrate that an…