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.
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Nicholson, J., Takahashi, K. & Nakatsu, R. Emotion Recognition in Speech Using Neural Networks. NCA 9, 290–296 (2000). https://doi.org/10.1007/s005210070006
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DOI: https://doi.org/10.1007/s005210070006