Lexico-acoustic Neural-based Models for Dialog Act Classification
Table 3: Accuracy (%) of the three models on both datasets.
['[BOLD] Model', '[BOLD] MRDA', '[BOLD] SwDA']
As expected, the LM is superior to the AM, i.e. the lexical features yield more valuable information than the acoustic features for our task. On both datasets, the LM’s accuracy is significantly higher than the AM’s accuracy. However, for both datasets, the combined model yields improvements over both constituent models. It indicates that both cue sources complement each other.