Figure 5
From: Within and cross-corpus speech emotion recognition using latent topic model-based features
Qualitative interpretation of emotions and topics using (a) LDA and (b) RSM. The normalized PMI between 64 topics and four emotions reveals that individual topics capture emotion-specific information. Topics obtained via LDA capture neutral emotions slightly better than RSM, whereas, the latter achieves better separability in case of the remaining emotions - sad, happy, and angry.