20 citations · 24 across the 10 of their papers we have counts for
11 papers
Learning domain-invariant classifiers for infant cry sounds
Charles C. Onu, Hemanth K. Sheetha, Arsenii Gorin +1
The issue of domain shift remains a problematic phenomenon in most real-world datasets and clinical audio is no exception. In this work, we study the nature of domain shift in a cl…
A cry for help: Early detection of brain injury in newborns
Charles C. Onu, Samantha Latremouille, Arsenii Gorin +9
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 a…
Self-supervised learning for infant cry analysis
Arsenii Gorin, Cem Subakan, Sajjad Abdoli +3
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 newbor…
CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds
David Budaghyan, Charles C. Onu, Arsenii Gorin +2
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…
A Fully Tensorized Recurrent Neural Network
Charles C. Onu, Jacob E. Miller, Doina Precup
Recurrent neural networks (RNNs) are powerful tools for sequential modeling, but typically require significant overparameterization and regularization to achieve optimal performanc…
Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia
Charles C. Onu, Jonathan Lebensold, William L. Hamilton +1
Despite continuing medical advances, the rate of newborn morbidity and mortality globally remains high, with over 6 million casualties every year. The prediction of pathologies aff…
Harnessing Infant Cry for swift, cost-effective Diagnosis of Perinatal Asphyxia in low-resource settings
Charles C. Onu
Perinatal Asphyxia is one of the top three causes of infant mortality in developing countries, resulting to the death of about 1.2 million newborns every year. At its early stages,…
Undersampling and Bagging of Decision Trees in the Analysis of Cardiorespiratory Behavior for the Prediction of Extubation Readiness in Extremely Preterm Infants
Lara J. Kanbar, Charles C. Onu, Wissam Shalish +4
Extremely preterm infants often require endotracheal intubation and mechanical ventilation during the first days of life. Due to the detrimental effects of prolonged invasive mecha…
Predicting Extubation Readiness in Extreme Preterm Infants based on Patterns of Breathing
Charles C. Onu, Lara J. Kanbar, Wissam Shalish +4
Extremely preterm infants commonly require intubation and invasive mechanical ventilation after birth. While the duration of mechanical ventilation should be minimized in order to…
A Semi-Markov Chain Approach to Modeling Respiratory Patterns Prior to Extubation in Preterm Infants
Charles C. Onu, Lara J. Kanbar, Wissam Shalish +4
After birth, extremely preterm infants often require specialized respiratory management in the form of invasive mechanical ventilation (IMV). Protracted IMV is associated with detr…
Ubenwa: Cry-based Diagnosis of Birth Asphyxia
Charles C Onu, Innocent Udeogu, Eyenimi Ndiomu +5
Every year, 3 million newborns die within the first month of life. Birth asphyxia and other breathing-related conditions are a leading cause of mortality during the neonatal phase.…