CoughSense reports 82.3% balanced accuracy on 5-class cough classification from 18k aggregated recordings using Whisper fine-tuning, active-frame pooling, and dual-encoder fusion, outperforming image-model baselines.
Analysis of pediatric cough sounds for bronchitis and pneumonia diagnosis.Figshare; 2022
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
CoughSense: Five-Class Respiratory Disease Classification via Whisper Encoder Fine-Tuning and Dual-Encoder Cross-Attention Fusion with Balanced Contrastive Learning
CoughSense reports 82.3% balanced accuracy on 5-class cough classification from 18k aggregated recordings using Whisper fine-tuning, active-frame pooling, and dual-encoder fusion, outperforming image-model baselines.