AUTHOR=Feng Kexin , Chaspari Theodora TITLE=A Review of Generalizable Transfer Learning in Automatic Emotion Recognition JOURNAL=Frontiers in Computer Science VOLUME=2 YEAR=2020 URL=https://www.frontiersin.org/journals/computer-science/articles/10.3389/fcomp.2020.00009 DOI=10.3389/fcomp.2020.00009 ISSN=2624-9898 ABSTRACT=

Automatic emotion recognition is the process of identifying human emotion from signals such as facial expression, speech, and text. Collecting and labeling such signals is often tedious and many times requires expert knowledge. An effective way to address challenges related to the scarcity of data and lack of human labels, is transfer learning. In this manuscript, we will describe fundamental concepts in the field of transfer learning and review work which has successfully applied transfer learning for automatic emotion recognition. We will finally discuss promising future research directions of transfer learning for improving the generalizability of automatic emotion recognition systems.