Figure 8
From: Within and cross-corpus speech emotion recognition using latent topic model-based features
Error analysis of neutral utterances across different duration categories using sRSM. The average posterior probability estimates for all misclassified neutral utterances in USC IEMOCAP. Although utterances tend to get misclassified as happy or sad, the neutral content is captured as the secondary emotion with slightly lower probability estimates. This further indicates the presence of multiple emotions and ambiguity as the turns become longer in duration.