CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds

David Budaghyan, Arsenii Gorin, Cem Subakan, Charles C. Onu

Abstract: This paper describes the Ubenwa CryCeleb dataset - a labeled collection of infant cries, and the accompanying CryCeleb 2023 task - a public speaker verification challenge based on infant cry sounds. We release for academic usage more than 6 hours of manually segmented cry sounds from 786 newborns to encourage research in infant cry analysis.