A Review on Emotion Recognition of Speech Signal using Multiclass SVM

摘要

Speech is the most natural form of communication between human beings. In the field of Human Computer Interaction (HCI) speech emotion recognition system is used. Researchers have been trying to develop a system more like human, emotion recognizing robots is an example of it. By using the speech features emotions are recognized from speech signals. Various speech features are MFCC (Mel Frequency Cepstral Coefficient), pitch, energy, intensity, speaking rate, voice quality, etc. Speech has many parameters which have great weightage in recognizing emotion namely prosodic and acoustic features. SVM (Support Vector Machine) is used as a classifier, which is used to classify the different emotions like happy, angry, sad, fear, neutral, etc. With the help of multiclass SVM. obtain more than two emotions.