Speech Emotion Recognition Systems: A Comprehensive Review on Different Methodologies
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
https://link.springer.com/content/pdf/10.1007/s11277-023-10296-5.pdf
Reference16 articles.
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2. Cheng, H., & Tang, X. (2020). Speech Emotion Recognition based on Interactive Convolutional Neural Network (2020). In IEEE 3rd International Conference on Information Communication and Signal Processing (ICICSP), pp. 163–167. https://doi.org/10.1109/ICICSP50920.2020.9232071.
3. Cornejo, J. Y. R., & Pedrini, H. (2019). Audio-Visual Emotion Recognition Using a Hybrid Deep Convolutional Neural Network based on Census Transform. In IEEE International Conference on Systems, Man and Cybernetics (SMC), pp. 3396–3402. https://doi.org/10.1109/SMC.2019.8914193.
4. Qadri, S. A. A., Gunawan, T. S., Wani, T. M., Ambikairajah, E., Kartiwi, M., & Ihsanto, E. (2021). Speech emotion Recognition using deep neural networks on multilingual databases. In J. A. Mat Jizat, et al. (Eds.), Advances in Robotics, automation and data analytics. iCITES 2020 (vol. 1350). Advances in Intelligent Systems and Computing. Cham: Springer. https://doi.org/10.1007/978-3-030-70917-4_3.
5. Abo absa, A. H., Deriche, M., & Mohandes, M. (2018). A Bilingual Emotion Recognition System Using Deep Learning Neural Networks. In 15th International Multi-Conference on Systems, Signals & Devices (SSD), pp. 1241–1245, https://doi.org/10.1109/SSD.2018.8570407.
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