Abstract
Aiming at emotion deficiency in present E-Learning system, speech emotion recognition system is proposed in the paper. A corpus of emotional speech from various subjects, speaking different languages is collected for developing and testing the feasibility of the system. The potential prosodic features are first identified and extracted from the speech data. Then we introduce a systematic feature selection approach which involves the application of Sequential Forward Selection (SFS) with a General Regression Neural Network (GRNN) in conjunction with a consistency-based selection method. The selected features are employed as the input to a Modular Neural Network (MNN) to realize the classification of emotions. Our simulation experiment results show that the proposed system gives high recognition performance.
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Kekang, H.: E-Learning Essence- information technology into curriculum. E-education Research 105(1), 3–4 (2002)
Jijun, W.: Emotion deficiency and compensation in distance learning. Chinese network education (2005)
Picard, R.W.: Affective Computing. MIT Press, Cambridge (1997)
Picard, R.W.: Affective Computing, Challenges. Cambridge. International Journal of Human Computer studies 59(1), 55–64 (2003)
Dellaert, F., Polzin, T., Waibel, A.: Recognizing Emotion in Speech. In: Proceedings of the ICSLP 1996 (1996)
Nicholson, J., Takabashi, K., Nakatsu, R.: Emotion Recognition in Speech Using Neural Network. Neural Information Processing (1999)
Kittler, J.: Feature Set Search Algorithms. Pattern Recognition and Signal Processing, 41–60 (1978)
Specht, D.F.: A general regression neural network. IEEE Trans. Neural Networks 2(6), 568–576 (1991)
Wu, M.: Dynamic resource allocation via video content and short-term statistics. In: IEEE Int. Conf. on Image Processing, vol. III, pp. 58–61 (2000)
Cai, Q., Mitche, A., Aggarwal, J.K.: Track Human Motion in an Indoor Environment. In: Proc.of 2nd Intl.Conf.Image Processing (2003)
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Zhu, A., Luo, Q. (2007). Study on Speech Emotion Recognition System in E-Learning. In: Jacko, J.A. (eds) Human-Computer Interaction. HCI Intelligent Multimodal Interaction Environments. HCI 2007. Lecture Notes in Computer Science, vol 4552. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73110-8_59
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DOI: https://doi.org/10.1007/978-3-540-73110-8_59
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73108-5
Online ISBN: 978-3-540-73110-8
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