出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Emotion recognition has been a research topic in the field of Human Computer Interaction
(HCI) during recent years. Computers have become an inseparable part of human life. Users
need human-like interaction to better communicate with computers. Many researchers have
become interested in emotion recognition and classification using different sources. A hybrid
approach of audio and text has been recently introduced. All such approaches have been done to
raise the accuracy and appropriateness of emotion classification. In this study, a hybrid
approach of audio and video has been applied for emotion recognition. The innovation of this
approach is selecting the characteristics of audio and video and their features as a unique
specification for classification. In this research, the SVM method has been used for classifying
the data in the SAVEE database. The experimental results show the maximum classification
accuracy for audio data is 91.63% while by applying the hybrid approach the accuracy achieved
is 99.26%.
