Emotion Recognition from Audio-Visual Data

Abstract: Emotion Recognition Systems is used to identifying the emotions of humans with their accuracy. This paper by using Audio-visual Data to recognizing emotion. We have to use machine learning. This emotion recognition system automatically identifies the human emotional states from his or her voice and face images. An audiovisual emotion recognition system is used to develop uses fusion algorithm. In this system firstly separate emotion recognition systems that use voice and facial expressions were tested separately. These two databases are used in this system Berlin EMODB database and Assamese database. This paper is dependent on recognizing human emotion and voice emotion. This system uses many emotional persons.

Keywords: Facial Expression Recognition, Emotional Model, Social Interfaces, Emotion Recognition, Machine learning.