A Self-Attentive Emotion Recognition Network
Table 1: IEMOCAP dataset: Number of utterances on each emotion.
['[BOLD] Class', 'Angry', 'Sad', 'Happy', 'Frustrated', 'Excited', 'Neutral']
In our experiments, we only utilize the textual modality (transcripts) of the dataset and the categorical labels of each utterance. The used label information is derived by performing majority voting on the three available annotations. This dataset contains 151 conversations with a total number of 10,039 utterances. However, only 7,380 utterances contain the six types of emotions we retain in this study; thus, the remaining utterances are omitted.