Support vector machines employing cross-correlation for emotional speech recognition

Author:

Chandaka Suryannarayana,Chatterjee Amitava,Munshi Sugata

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference19 articles.

1. T.-L. Pao, Y.-T. Chen, J.-H. Yeh, P.-J. Li, Mandarin emotional speech recognition based on SVM and NN, in: Proceedings of the 18th International Conference on Pattern Recognition (ICPR’06), vol. 1, September 2006, p. 1096-0.

2. Y.-L. Lin, G. Wei. Speech emotion recognition based on HMM and SVM, in: Proceedings of the Fourth International Conference on Machine Learning and Cybernetics, vol. 8, August 2005, p. 4898-1.

3. C.-C. Chang, C.-J. Lin. LIBSVM: a library for Support Vector Machines, 2001. Available from: .

4. Z. Xiao, E. Dellandrea, W. Dou, L. Chen, Two-stage classification of emotional speech, in: Presented at International Conference on Digital Telecommunications, 2006, pp. 32–38.

5. Digital Signal Processing: Principles Algorithms and Applications;Proakis,1997

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