Identifying and sensing emotional quotient weightage in the outcome using Speech Dialogue

Abstract

Emotion is a very important part of any interaction whether it is human-human or human- computer interaction as an emotion conveys the essence of the interaction. Decision making is also influenced by the emotional state of a person. If we can capture emotions from a human-computer interaction then it will be very beneficial for the computer to learn from that interaction. It can be efficiently used by an artificial intelligence system to understand and give response accordingly. The method proposed in this paper uses a machine learning based approach to detect emotion from the text obtained from the speech dialogue.