A Systematic Literature Review On Speech Emotion Recognition Approaches Using Different Methodologies

Abstract

This paper explores Speech Emotion Recognition (SER), crucial for applications like education, customer service, and healthcare. SER aims to predict emotions conveyed through speech, utilizing various frameworks accurately. The paper evaluates existing methods based on feature extraction and classification, highlighting their strengths, limitations, and overall accuracy. By analyzing these parameters, the paper provides insights into the effectiveness of current SER approaches. This outline is an important asset for scientists and specialists looking to comprehend and further develop feeling acknowledgment frameworks in true settings.