A comparative analysis of classifiers in emotion recognition through acoustic features

Author:

Kuchibhotla Swarna,Vankayalapati H. D.,Vaddi R. S.,Anne K. R.

Publisher

Springer Science and Business Media LLC

Subject

Computer Vision and Pattern Recognition,Linguistics and Language,Human-Computer Interaction,Language and Linguistics,Software

Reference23 articles.

1. Burkhardt, F., Paeschke, A., Rolfes, M., Sendlmeier, W. F., & Weiss, B. (2005). A database of german emotional speech. In: Interspeech, pp. 1517–1520.

2. Cowie, R., Douglas-Cowie, E., Tsapatsoulis, N., Votsis, G., Kollias, S., Fellenz, W., et al. (2001). Emotion recognition in human-computer interaction. IEEE on Signal Processing Magazine, 18(1), 32–80.

3. El Ayadi, M., Kamel, M. S., & Karray, F. (2011). Survey on speech emotion recognition: Features, classification schemes, and databases. Pattern Recognition, 44(3), 572–587.

4. El Ayadi, M. M., Kamel, M. S., & Karray, F. (2007). Speech emotion recognition using gaussian mixture vector autoregressive models. In: Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on, IEEE, vol. 4, pp. IV-957.

5. Ji, S., & Ye, J. (2008). Generalized linear discriminant analysis: A unified framework and efficient model selection. IEEE Transactions on Neural Networks, 19(10), 1768–1782.

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