no code implementations • 30 Nov 2023 • Charles C. Onu, Hemanth K. Sheetha, Arsenii Gorin, Doina Precup
The issue of domain shift remains a problematic phenomenon in most real-world datasets and clinical audio is no exception.
no code implementations • 12 Oct 2023 • Charles C. Onu, Samantha Latremouille, Arsenii Gorin, Junhao Wang, Innocent Udeogu, Uchenna Ekwochi, Peter O. Ubuane, Omolara A. Kehinde, Muhammad A. Salisu, Datonye Briggs, Yoshua Bengio, Doina Precup
Since the 1960s, neonatal clinicians have known that newborns suffering from certain neurological conditions exhibit altered crying patterns such as the high-pitched cry in birth asphyxia.
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.
2 code implementations • 1 May 2023 • David Budaghyan, Charles C. Onu, Arsenii Gorin, Cem Subakan, Doina Precup
This paper describes the Ubenwa CryCeleb dataset - a labeled collection of infant cries - and the accompanying CryCeleb 2023 task, which is a public speaker verification challenge based on cry sounds.