A Comprehensive Review of Speech Emotion Recognition Systems

During the last decade, Speech Emotion Recognition (SER) has emerged as an integral component within Human-computer Interaction (HCI) and other high-end speech processing systems. Generally, SER system targets speaker's existence of varied emotions by extracting classifying prominent features from a preprocessed signal. However, way humans machines recognize correlate emotional aspects signals are quite contrasting quantitatively qualitatively, which present enormous difficulties in blending knowledge interdisciplinary fields, particularly emotion recognition, applied psychology, human-computer interface. The paper carefully identifies synthesizes recent relevant literature related to systems' design components/methodologies, thereby providing readers with state-of-the-art understanding hot research topic. Furthermore, while scrutinizing current state on systems, gap's prominence been sketched out for consideration analysis researchers, institutions, regulatory bodies.