emoDARTS: Joint Optimisation of CNN & Sequential Neural Network
Architectures for Superior Speech Emotion Recognition
emoDARTS: Joint Optimisation of CNN & Sequential Neural Network
Architectures for Superior Speech Emotion Recognition
Speech Emotion Recognition (SER) is crucial for enabling computers to understand the emotions conveyed in human communication. With recent advancements in Deep Learning (DL), the performance of SER models has significantly improved. However, designing an optimal DL architecture requires specialised knowledge and experimental assessments. Fortunately, Neural Architecture Search (NAS) provides …