2024
MS-SENet: Enhancing Speech Emotion Recognition Through Multi-Scale Feature Fusion with Squeeze-and-Excitation Blocks
ICASSP 2024accepted
Speech Emotion Recognition (SER) has become a growing focus of research in human-computer interaction. Spatiotemporal features play a crucial role in SER, yet current research lacks comprehensive spatiotemporal feature learning. This paper focuses on addressing this gap by proposing a novel approach…