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.
Virufy: Global applicability of crowdsourced and clinical datasets for AI detection of COVID-19 from cough.arXivpreprint arXiv:2011.13320; 2021
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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.