2018
Unsupervised Learning Approach to Feature Analysis for Automatic Speech Emotion Recognition
ICASSP 2018accepted
The scarcity of emotional speech data is a bottleneck of developing automatic speech emotion recognition (ASER) systems. One way to alleviate this issue is to use unsupervised feature learning techniques to learn features from the widely available general speech and use these features to train emoti…