Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition
Multi-Task Semi-Supervised Adversarial Autoencoding for Speech Emotion Recognition
Inspite the emerging importance of Speech Emotion Recognition (SER), the state-of-the-art accuracy is quite low and needs improvement to make commercial applications of SER viable. A key underlying reason for the low accuracy is the scarcity of emotion datasets, which is a challenge for developing any robust machine learning model …