Emotion Detection Using Feature Extraction Tools

摘要

This paper presents an analysis of the effect of features obtained from 3 different audio analysis tools on classifier accuracy during emotion detection. The research process included constructing training data, feature extraction, feature selection, and building classifiers. The obtained results indicated leaders among feature extraction tools used during classifier building for each emotion. An additional result of the conducted research was obtaining information on which features are useful in the detection of particular emotions.