Post-swallowing voice-based aspiration screening in dysphagia using a deep learning approach: insights from audio segmentation
- DOI
- 10.1038/s41598-026-53618-w
- Published
- 2026-05-21
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-53618-w,
title = {Post-swallowing voice-based aspiration screening in dysphagia using a deep learning approach: insights from audio segmentation},
author = {Jung-Min Kim and Min-Seop Kim and Sun-Young Choi and Hyun-Jin Kim and Ju Seok Ryu},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-026-53618-w},
url = {https://doi.org/10.1038/s41598-026-53618-w}
}RIS
TY - JOUR TI - Post-swallowing voice-based aspiration screening in dysphagia using a deep learning approach: insights from audio segmentation AU - Jung-Min Kim AU - Min-Seop Kim AU - Sun-Young Choi AU - Hyun-Jin Kim AU - Ju Seok Ryu PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-026-53618-w UR - https://doi.org/10.1038/s41598-026-53618-w ER -
APA
Kim, J., Kim, M., Choi, S., Kim, H., & Ryu, J. S. (2026). Post-swallowing voice-based aspiration screening in dysphagia using a deep learning approach: insights from audio segmentation. Scientific Reports. https://doi.org/10.1038/s41598-026-53618-w
Source records
- crossref · retrieved 2026-09-26T03:52:03.833Z