Abstract
Aiming at emotion deficiency in present E-Learning system, a lot of negative effects were analyzed and corresponding countermeasures were proposed. Basing on it, we combined affective computing with the traditional E-Learning system. The model of E-Learning system based on affective computing was constructed by using speech emotion, which took speech feature as input data. Our simulation experiment results showed that neural networks was effective in emotion recognition, and we achieve a recognition rate of approximately 50% when testing eight emotions .besides, other key techniques of realizing the system such as tracking the change of emotion state and adjusting teaching strategies were also introduced.
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© 2007 Springer Berlin Heidelberg
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Chen, K., Yue, G., Yu, F., Shen, Y., Zhu, A. (2007). Research on Speech Emotion Recognition System in E-Learning. In: Shi, Y., van Albada, G.D., Dongarra, J., Sloot, P.M.A. (eds) Computational Science – ICCS 2007. ICCS 2007. Lecture Notes in Computer Science, vol 4489. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72588-6_91
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DOI: https://doi.org/10.1007/978-3-540-72588-6_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72587-9
Online ISBN: 978-3-540-72588-6
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