ALSA-CNN-transformer: audio depression detection using hybrid attention and multi-scale feature fusion
- DOI
- 10.1007/s13534-026-00617-5
- Published
- 2026-09-25
- Container
- Biomedical Engineering Letters
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s13534-026-00617-5,
title = {ALSA-CNN-transformer: audio depression detection using hybrid attention and multi-scale feature fusion},
author = {Ailing Tan and Rongxuan Zhao and Rongrong Ma and Jiahui Wei and Yong Zhao},
year = {2026},
journal = {Biomedical Engineering Letters},
doi = {10.1007/s13534-026-00617-5},
url = {https://doi.org/10.1007/s13534-026-00617-5}
}RIS
TY - JOUR TI - ALSA-CNN-transformer: audio depression detection using hybrid attention and multi-scale feature fusion AU - Ailing Tan AU - Rongxuan Zhao AU - Rongrong Ma AU - Jiahui Wei AU - Yong Zhao PY - 2026 JO - Biomedical Engineering Letters DO - 10.1007/s13534-026-00617-5 UR - https://doi.org/10.1007/s13534-026-00617-5 ER -
APA
Tan, A., Zhao, R., Ma, R., Wei, J., & Zhao, Y. (2026). ALSA-CNN-transformer: audio depression detection using hybrid attention and multi-scale feature fusion. Biomedical Engineering Letters. https://doi.org/10.1007/s13534-026-00617-5
Source records
- crossref · retrieved 2026-11-09T06:50:56.528Z