Deep temporal clustering features for speech emotion recognition

Wei-Cheng Lin, Carlos Busso

Abstract: Highlights•We propose the novel semi-supervised temporal-enhanced DeepEmoCluster framework.•The model achieves better performance compared to other existing SSL frameworks in SER.•The DeepEmoCluster framework leads to high temporal consistency in the clusters.•The DeepEmoCluster framework leads to well-separable emotional clusters.