Hybrid CNN-embedding fusion with MFCC-SVM for speech emotion recognition: Random vs actor-wise evaluation on CREMA-D
- DOI
- 10.1371/journal.pone.0355238
- Published
- 2026-08-24
- Container
- PLOS One
- Publisher
- Public Library of Science (PLoS)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1371/journal.pone.0355238,
title = {Hybrid CNN-embedding fusion with MFCC-SVM for speech emotion recognition: Random vs actor-wise evaluation on CREMA-D},
author = {Parveen Kumari and Yogita Yashveer Raghav and Vimmi Kochher and Prashanth kumar katta and Abhilasha A and Prabhakar M and Jayanthiladevi A and Fikir Gizachew Belete},
year = {2026},
journal = {PLOS One},
doi = {10.1371/journal.pone.0355238},
url = {https://doi.org/10.1371/journal.pone.0355238}
}RIS
TY - JOUR TI - Hybrid CNN-embedding fusion with MFCC-SVM for speech emotion recognition: Random vs actor-wise evaluation on CREMA-D AU - Parveen Kumari AU - Yogita Yashveer Raghav AU - Vimmi Kochher AU - Prashanth kumar katta AU - Abhilasha A AU - Prabhakar M AU - Jayanthiladevi A AU - Fikir Gizachew Belete PY - 2026 JO - PLOS One DO - 10.1371/journal.pone.0355238 UR - https://doi.org/10.1371/journal.pone.0355238 ER -
APA
Kumari, P., Raghav, Y. Y., Kochher, V., katta, P. K., A, A., M, P., A, J., & Belete, F. G. (2026). Hybrid CNN-embedding fusion with MFCC-SVM for speech emotion recognition: Random vs actor-wise evaluation on CREMA-D. PLOS One. https://doi.org/10.1371/journal.pone.0355238
Source records
- crossref · retrieved 2026-09-25T04:38:23.332Z