Emotion recognition in speech using neural networks

Emotion recognition in speech is a topic on which little research has been done to-date, In this paper we discuss why emotion recognition in speech is a significant and applicable research topic, and present a system for emotion recognition using one-class-in-one neural networks. By using a large database of phoneme balanced words, our system is speaker- and context-independent. We achieve a recognition rate of approximately 50% when testing eight emotions.