1. Agarap, A. F. (2018). Deep learning using rectified linear units (relu). CoRR, arXiv:abs/1803.08375.
2. Aghajani, K., Esmaili, I., & Afrakoti, P. (2020). Speech emotion recognition using scalogram based deep structure. International Journal of Engineering, 33(2), 285–292.
3. Allen, D. M. (1971). Mean square error of prediction as a criterion for selecting variables. Technometrics, 13(3), 469–475.
4. Anand, N. & Verma, P. (2015). Convoluted feelings convolutional and recurrent nets for detecting emotion from audio data. In Technical Report. Stanford University.
5. Anvarjon, T., Kwon, S., et al. (2020). Deep-net: A lightweight cnn-based speech emotion recognition system using deep frequency features. Sensors, 20(18), 5212.