NoNPSA shows that retrieval from a datastore of speech embeddings can assess respiratory symptoms as accurately as fine-tuned self-supervised models, while making data updates and removal easier.
Exploring machine learning for audio-based respiratory condition screening: A concise review of databases, methods, and open issues,
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Adaptable Non-parametric Approach for Speech-based Symptom Assessment: Isolating Private Medical Data in a Retrieval Datastore
NoNPSA shows that retrieval from a datastore of speech embeddings can assess respiratory symptoms as accurately as fine-tuned self-supervised models, while making data updates and removal easier.