ADMRF: Elucidation of deep feature extraction and adaptive deep Markov random fields with improved heuristic algorithm for speech emotion recognition
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10772-024-10115-7.pdf
Reference41 articles.
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2. Aouani, H., & Ayed, Y. B. (2020). Speech emotion recognition with deep learning. Procedia Computer Science, 176, 251–260.
3. Azizi, M., Shishehgarkhaneh, M. B., Basiri, M., & Moehler, R. C. (2023). Squid game optimizer (SGO): A novel metaheuristic algorithm. Scientific Reports, 13, 5373.
4. Braunschweiler, N., Doddipatla, R., Keizer, S., & Stoyanchev, S. (2022). Factors in emotion recognition with deep learning models using speech and text on multiple corpora. IEEE Signal Processing Letters, 29, 722–726.
5. Chowanda, A., AnindaputriIswanto, I., & WidhiAndangsari, E. (2023). Exploring deep learning algorithm to model emotions recognition from speech. Procedia Computer Science, 216, 706–713.
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