A hybrid deep feature selection framework for emotion recognition from human speeches
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-022-14052-y.pdf
Reference70 articles.
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3. Agrawal P, Abutarboush HF, Ganesh T, Mohamed AW (2021) Metaheuristic algorithms on feature selection: a survey of one decade of research (2009-2019). IEEE Access 9:26766–26791
4. Ahmed S, Ghosh KK, Garcia-Hernandez L, Abraham A, Sarkar R (2021) Improved coral reefs optimization with adaptive β-hill climbing for feature selection. Neural Comput & Applic 33(12):6467–6486
5. Akçay MB, Oğuz K (2020) Speech emotion recognition: emotional models, databases, features, preprocessing methods, supporting modalities, and classifiers. Speech Comm 116:56–76
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