Speech emotion recognition using MFCC-based entropy feature
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02716-7.pdf
Reference29 articles.
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3. Mishra, S. P., Warule, P., Deb, S.: Deep learning based emotion classification using mel frequency magnitude coefficient, in: 2023 1st International Conference on Innovations in High Speed Communication and Signal Processing (IHCSP), IEEE, (2023), pp. 93–98
4. Warule, P., Mishra, S.P., Deb, S., Krajewski, J.: Sinusoidal model-based diagnosis of the common cold from the speech signal. Biomedical Signal Processing and Control 83, 104653 (2023)
5. Zhao, X., Zhang, S., Lei, B.: Robust emotion recognition in noisy speech via sparse representation. Neural Computing and Applications 24(7), 1539–1553 (2014)
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