Unsupervised domain adaptation for speech emotion recognition using PCANet

Research in emotion recognition seeks to develop insights into the variances of features of emotion in one common domain. However, automatic emotion recognition from speech is challenging when training data and test data are drawn from different domains due to different recording conditions, languag...

Ausführliche Beschreibung