A comparator loss trains speech models to produce ordinal severity scores for NDD progression that distinguish patients from controls and correlate with unseen clinical annotations.
Their proposed model is trained to learn a low-dimensional manifold from images
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Comparator Loss: An Ordinal Contrastive Loss to Derive a Severity Score for Speech-based Health Monitoring
A comparator loss trains speech models to produce ordinal severity scores for NDD progression that distinguish patients from controls and correlate with unseen clinical annotations.