Intelligent Speech Emotion Classification Using Deep Learning Technique

Abstract

Abstract: Speech emotion recognition is a very interesting but very challenging human-computer interaction task. In recent years, this topic has attracted a lot of attention. In the field of speech emotion recognition, many techniques have been used to extract emotion from signals, including many well-established speech analysis and classification techniques. In the traditional way of speech emotion recognition, the emotion recognition features are extracted from the speech signals, and then the features, which are collectively known as the selection module, are selected, and then the emotions are recognized, which is a very tedious and time-consuming process, so this paper provides an overview of the deep learning technique, which is based on a simple algorithm based on feature extraction and building a model that recognizes emotions