Matthew Pontell

OPTIMIZING DOMAIN-ADAPTIVE SELF-SUPERVISED LEARNING FOR CLINICAL VOICE-BASED DISEASE CLASSIFICATION

The human voice is a promising non-invasive digital biomarker, yet deep learning for voice-based health analysis is hindered by data scarcity and domain mismatch, where models pre-trained on general audio fail to capture the subtle pathological features characteristic of clinical voice data. To addr…