Deep Support Vector Machines for Speech Emotion Recognition

Author:

Aouani Hadhami,Ben Ayed Yassine

Publisher

Springer International Publishing

Reference15 articles.

1. Emerich, S., Lupu, E.: Improving speech emotion recognition using frequency and time domain acoustic features. In: EURSAIP (2011)

2. Park, J.-S., Kim, J.-H., Oh, Y.-H.: Feature vector classification based speech emotion recognition for service robots. IEEE Trans. Consum. Electron. 55(3), 1590–1596 (2009)

3. Law, J., Rennie, R.: A Dictionary of Physics, 7th edn. Oxford University Press, Oxford (2015)

4. Zhibing, X.: Audiovisual Emotion Recognition Using Entropy estimation-based Multimodal Information Fusion. Ryerson University, Toronto (2015)

5. Hinton, G.E., Salakhutdinov, R.R.: Reducing the dimensionality of data with neural networks. Science 313(5786), 504–507 (2006)

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