Benchmarking speech-to-text robustness in noisy emergency medical dialogues: an evaluation of models under realistic acoustic conditions.

Saved in:
Bibliographic Details
Title: Benchmarking speech-to-text robustness in noisy emergency medical dialogues: an evaluation of models under realistic acoustic conditions.
Authors: Moser D; School of Engineering and Computer Science, Bern University of Applied Sciences, Bern, Switzerland., Stanic N; School of Engineering and Computer Science, Bern University of Applied Sciences, Bern, Switzerland., Sariyar M; School of Engineering and Computer Science, Bern University of Applied Sciences, Bern, Switzerland.
Source: JAMIA open [JAMIA Open] 2025 Nov 19; Vol. 8 (6), pp. ooaf147. Date of Electronic Publication: 2025 Nov 19 (Print Publication: 2025).
Publication Type: Journal Article
Journal Info: Publisher: Oxford University Press on behalf of the American Medical Informatics Association Country of Publication: United States NLM ID: 101730643 Publication Model: eCollection Cited Medium: Internet ISSN: 2574-2531 (Electronic) Linking ISSN: 25742531 NLM ISO Abbreviation: JAMIA Open Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:2574-2531
DOI:10.1093/jamiaopen/ooaf147