Comparison between k-nn and svm method for speech emotion recognition

Human Computer intelligent interaction (HCII) is an emerging field of science aimed at providing natural ways for humans to use computer as aids. Machine intelligence needs to include emotional intelligence it is argued that for the computer to be able to interact with humans, it needs to have the communication skills of human. One of these skills is the ability to understand the emotional state of the person. Two recognition methods namely K-Nearest Neighbor (K-NN) and Support vector machine (SVM) classifier have been experimented and compared. The paper explores the simplicity and effectiveness of SVM classifier for designing the real-time emotion recognition system.