Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition
Multitask Learning From Augmented Auxiliary Data for Improving Speech Emotion Recognition
Despite the recent progress in speech emotion recognition (SER), state-of-the-art systems lack generalisation across different conditions.A key underlying reason for poor generalisation is the scarcity of emotion datasets, which is a significant roadblock to designing robust machine learning (ML) models.Recent works in SER focus on utilising multitask learning (MTL) methods …