2024 PLOS Digit Health
Identifying bias in models that detect vocal fold paralysis from audio recordings using explainable machine learning and clinician ratings
Low DM, Rao V, Randolph G, Song PC, Ghosh SS
Detecting vocal-fold paralysis from voice
pastAnalyzed sustained vowel and read speech to detect unilateral vocal-fold paralysis; explored biases in recording and compared ML performance to clinicians' diagnosis-from-voice ability.
- speech-voice-biomarkers
- mental-health-psychiatry
Resources
Links
People
Contributors
Former
Publications
1 paper associated with this project
Edit this project in src/data/projects.yml. Add a paper in
src/data/publications.yml and tag it with the project slug.
See
PROJECTS.md
for conventions.