Learning Representations of Emotional Speech with Deep Convolutional Generative Adversarial Networks
Table 3: Confusion matrix for 5-class valence classification with the BasicDCGAN model. Predictions are reported in columns and actual targets in rows. Valence classes are sorted from very negative to very positive. These classes correspond to the numeric labels 1 through 5.
['[EMPTY]', 'Very Neg.', 'Neg.', 'Neu.', 'Pos.', 'Very Pos.']
It is noted that the “negative” class (i.e., the second row) is classified the best. However, it appears that this class is picked more frequently by the model resulting in high recall = 0.7701 and low precision = 0.3502. The class with the highest F1 score is “very positive” (i.e., the last row) with F1=0.5284.