Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap
Dawn of the Transformer Era in Speech Emotion Recognition: Closing the Valence Gap
Recent advances in transformer-based architectures have shown promise in several machine learning tasks. In the audio domain, such architectures have been successfully utilised in the field of speech emotion recognition (SER). However, existing works have not evaluated the influence of model size and pre-training data on downstream performance, and have …