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cs.SD2026
Language Models as Semantic Teachers: Post-Training Alignment for Medical Audio Understanding
Tsai-Ning Wang, Lin-Lin Chen, Neil Zeghidour +1
Pre-trained audio models excel at detecting acoustic patterns in auscultation sounds but often fail to grasp their clinical significance, limiting their use and performance in diag…
cs.SD2026
Adaptive Test-Time Scaling for Zero-Shot Respiratory Audio Classification
Tsai-Ning Wang, Herman Teun den Dekker, Lin-Lin Chen +2
Automated respiratory audio analysis promises scalable, non-invasive disease screening, yet progress is limited by scarce labeled data and costly expert annotation. Zero-shot infer…
cs.SD2025
Unified Acoustic Representations for Screening Neurological and Respiratory Pathologies from Voice
Ran Piao, Yuan Lu, Hareld Kemps +2
Voice-based health assessment offers unprecedented opportunities for scalable, non-invasive disease screening, yet existing approaches typically focus on single conditions and fail…