EmoNet: A Lightweight Attention-Based CNN for Speech Emotion Recognition
- DOI
- 10.48550/arxiv.2610.33977
- Published
- 2026
- Container
- Not recorded
- Publisher
- arXiv
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.48550/arxiv.2610.33977,
title = {EmoNet: A Lightweight Attention-Based CNN for Speech Emotion Recognition},
author = {Khalid, Muhammad Moiz and Tariq, Abdur Rehman and Yamin, Muhammad Okasha},
year = {2026},
doi = {10.48550/arxiv.2610.33977},
url = {https://doi.org/10.48550/arxiv.2610.33977}
}RIS
TY - JOUR TI - EmoNet: A Lightweight Attention-Based CNN for Speech Emotion Recognition AU - Khalid, Muhammad Moiz AU - Tariq, Abdur Rehman AU - Yamin, Muhammad Okasha PY - 2026 DO - 10.48550/arxiv.2610.33977 UR - https://doi.org/10.48550/arxiv.2610.33977 ER -
APA
Moiz, K. M., Rehman, T. A., & Okasha, Y. M. (2026). EmoNet: A Lightweight Attention-Based CNN for Speech Emotion Recognition. https://doi.org/10.48550/arxiv.2610.33977
Source records
- datacite · retrieved 2026-11-10T12:49:42.418Z