Optimization of speech emotion recognition using hybrid dataset integration and deep learning-based feature fusion with a novel balanced focal entropy loss.
- DOI
- 10.1038/s41598-026-48975-5
- Published
- 2026 Apr 14
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-48975-5,
title = {Optimization of speech emotion recognition using hybrid dataset integration and deep learning-based feature fusion with a novel balanced focal entropy loss.},
author = {Nagro S},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-48975-5},
url = {https://doi.org/10.1038/s41598-026-48975-5}
}RIS
TY - JOUR TI - Optimization of speech emotion recognition using hybrid dataset integration and deep learning-based feature fusion with a novel balanced focal entropy loss. AU - Nagro S PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-48975-5 UR - https://doi.org/10.1038/s41598-026-48975-5 ER -
APA
S, N. (2026). Optimization of speech emotion recognition using hybrid dataset integration and deep learning-based feature fusion with a novel balanced focal entropy loss.. Scientific reports. https://doi.org/10.1038/s41598-026-48975-5
Source records
- pubmed · retrieved 2026-09-25T08:46:23.442Z