Using only speech samples, machine learning can detect emotions in a speaker's voice. This session will outline modeling challenges including label uncertainty and robustness to non-emotional latent factors, and present an adversarial auto-encoder learning approach that can be applied to a wide range of models.

Session Speakers: Viktor Rozgic, Chao Wang (Session A07)