In-Depth Analysis of Speech Production, Auditory System, Emotion Theories and Emotion Recognition

Abstract

Artificial intelligence and machine learning are used to make machines more intelligent. SER emotion recognition from speech signals is a difficult problem for machine learning which artificial intelligence method is. The speech signal is difficult to analyze because it contains different frequencies and features. Speech is digitized by signal processing methods and sound characteristics are obtained by acoustic analysis. These features vary by emotions such as sadness, fear, anger, happiness, boredom and surprise. Analysis methods emerged by modeling the features of speech production system and human hearing system. In this study, speech production system, hearing system, emotion production system, emotion definition and theories, emotion recognition models are examined. © 2020 IEEE.