Review Of Current Trends And Future Directions In Speech Emotion Recognition

Abstract

Speech Emotion Recognition (SER) is a multidisciplinary domain that integrates computer science, linguistics, and psychology to interpret emotional expressions conveyed through speech. This review encapsulates recent developments in SER, addressing methodologies, obstacles, and applications. It emphasizes the transition from conventional signal processing techniques to contemporary deep learning methods while highlighting the significance of diverse datasets and the integration of multiple modalities to enhance recognition accuracy.