Self-supervised learning for infant cry analysis

no code implementations • 2 May 2023 • Arsenii Gorin, Cem Subakan, Sajjad Abdoli, Junhao Wang, Samantha Latremouille, Charles Onu

In this paper, we explore self-supervised learning (SSL) for analyzing a first-of-its-kind database of cry recordings containing clinical indications of more than a thousand newborns.

Domain Adaptation Self-Supervised Learning