Alleviating Sequence Information Loss with Data Overlapping and Prime Batch Sizes
Table 5: Token order imbalance (TOI) comparison for the IEMOCAP dataset on a SER task using angry, happy, neutral and sad classes with a simple LSTM model.
['Experiment', 'WA', 'UA']
When choosing the Extreme TOI instead of the Standard TOI approach we observe a smaller effect than in text related task: this is due to the different nature of the text datasets (large "continuous" corpuses) and the IEMOCAP one (composed of shorter utterances). The fact that we can still observe improvements on a dataset with short utterances is a proof of the robustness of the method.