1. Badshah, A. M., Ahmad, J., Rahim, N., & Baik, S. W. (2017). Speech emotion recognition from spectrograms with deep convolutional neural network. In 2017 International Conference on Platform Technology and Service (PlatCon) (pp. 1–5). IEEE.
2. Burkert, P., Trier, F., Afzal, M. Z., Dengel, A., & Liwicki, M. (2015). DeXpression: Deep convolutional neural network for expression recognition. arXiv preprint arXiv:1509.05371.
3. Chango, W., Lara, J. A., Cerezo, R., & Romero, C. (2022). A review on data fusion in multimodal learning analytics and educational data mining. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 12(4), e1458.
4. Chapaneri, S. V., & Jayaswal, D. J. (2013). Emotion recognition from speech using Teager based DSCC features. International Journal of Computer Applications, 975, 8887.
5. Cimtay, Y., Ekmekcioglu, E., & Caglar-Ozhan, S. (2020). Cross-subject multimodal emotion recognition based on hybrid fusion. IEEE Access, 8, 168865–168878.