Separating Varying Numbers of Sources with Auxiliary Autoencoding Loss
Separating Varying Numbers of Sources with Auxiliary Autoencoding Loss
Many recent source separation systems are designed to separate a fixed number of sources out of a mixture. In the cases where the source activation patterns are unknown, such systems have to either adjust the number of outputs or to identify invalid outputs from the valid ones. Iterative separation methods …