Emotion recognition in speech using neural networks

Abstract

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 an interesting 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.

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