2020
Unsupervised Sound Separation Using Mixture Invariant Training
NeurIPS 2020spotlight
In recent years, rapid progress has been made on the problem of single-channel sound separation using supervised training of deep neural networks. In such supervised approaches, a model is trained to predict the component sources from synthetic mixtures created by adding up isolated ground-truth sou…