Bimodal Speech Emotion Recognition Using Pre-trained Language Models
Table 1: Test accuracy on Task 4A of SemEval 2017. The best models are in bold. We repeat each experiment five times and report the mean and standard deviation.
['[BOLD] Model', '[BOLD] Accuracy']
We train each model five times with different initial weights and report the mean and standard deviation for each model. Our best model (XLNet-Base) achieves an accuracy of 69.5% after only one epoch of training. This is an improvement of over 3% absolute over previous models, showing the effectiveness of pre-trained models for this task.