Post-swallowing voice-based aspiration screening in dysphagia using a deep learning approach: insights from audio segmentation.

Kim JM, Kim MS, Choi SY, Kim HJ, Ryu JS

Open source

DOI: 10.1038/s41598-026-53618-w
Published: 2026 May 21
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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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 = {Kim JM and Kim MS and Choi SY and Kim HJ and Ryu JS},
  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  - Kim JM
AU  - Kim MS
AU  - Choi SY
AU  - Kim HJ
AU  - Ryu JS
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-53618-w
UR  - https://doi.org/10.1038/s41598-026-53618-w
ER  -

APA

JM, K., MS, K., SY, C., HJ, K., & JS, R. (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

pubmed · retrieved 2026-11-10T18:49:11.972Z
europe-pmc · retrieved 2026-11-10T18:49:11.941Z
doaj · retrieved 2026-11-10T18:49:11.936Z