Databases, Classifiers for Speech Emotion Recognition: A Review

Abstract

Over the past decades, a lot of research was done in the field of speech emotion recognition using machine learning and deep neural network learning. However, in past few years, researchers are focused on exploring and utilizing deep neural network for speech emotion recognition over machine learning. DNN attracts the interest of researchers as it yields better results than machine learning. This paper aims to explore various existing models, methods and techniques for speech emotion recognition based on machine and deep neural network learning. The goal of this paper is to find out the deficiencies in current literature and also to analyze various existing methods. This research will be helpful for the researchers those who will aim to work and improve the existing literature of speech emotion recognition.