A Review on Emotion Detection and Classification using Speech

Abstract

The paper reviews about “emotion detection using vocal audios”. The vocals mainly constitute of the speech which is determined by the signals. Emotion recognition from the speech is an old and challenging problem in the field of artificial intelligence. In this paper, the recent developments on sentiment analysis using speech and different problems related to the same have been presented. The main challenge of the speech detection model is the classification of different emotions using the emotion detection model. So to choose an appropriate classification model is vital. Different types of features of emotional speech data and extraction techniques concerned with them are described in this paper along with the previous work review. The applicability of the various classification techniques has also been reviewed. The analysis has also been performed on different ML techniques for speech emotion recognition accuracy in different languages’.