Learning Speaker Representations with Mutual Information

In this brief video, I summarize a technique called Local Info Max (LIM) that learns speaker identities using mutual information. LIM is based on a neural encoder that converts raw samples into a high-level speaker representation. Training is conducted in a self-supervised way without explicitly using speaker labels.