Research Scientific publications

Voice is a window to our health. It is tightly coupled with our central nervous system. Ubenwa utilizes voice to unlock health insights starting at infancy, and believes that their cry should be monitored like a vital sign.

Find below our published research:
A cry for Help
Charles C Onu, Samantha Latremouille, Arsenii Gorin, Junhao Wang, Uchenna Ekwochi, Peter O Ubuane, Omolara A Kehinde, Muhammad A Salisu, Datonye Briggs, Yoshua Bengio, Doina Precup. "A cry for help: Early detection of brain injury in newborns", Preprint arXiv:2310.08338, 2023
Self-supervised learning for infant cry analysis
Arsenii Gorin, Cem Subakan, Sajjad Abdoli, Junhao Wang, Samantha Latremouille, Charles C. Onu. "Self-supervised learning for infant cry analysis", ICASSP 2023: Self-supervision in Audio, Speech and Beyond Workshop, 2023
Acoustic biomarkers of cries from newborns admitted to the NICU
Samantha Latremouille, Charles Onu; Junhao Wang; Arsenii Gorin; Wijdan Basfar; Adnan M. Al Ali; Guilherme Sant'Anna. "Acoustic biomarkers of cries from newborns admitted to the NICU with hypoxic ischemic encephalopathy", Abstract and poster presentation at Pediatric Academic Societies meeting on April 27, 2023 in Washington, D.C.
CryCeleb: A Speaker Verification dataset Based on Infant Cry Sounds
David Budaghyan, Charles C. Onu, Arsenii Gorin, Cem Subakan, Doina Precup. "CryCeleb: A Speaker Verification Dataset Based on Infant Cry Sounds", Preprint arXiv:2305.00969, 2023
An acoustic analysis of cry triggers in newborns
Adnan M. Al Ali, Charles Onu, Samantha Latremouille, Wijdan Basfar, Eva B. Senechal, Doina Precup, and Guilherme Sant'Anna. What's wrong, baby? An acoustic analysis of cry triggers in newborns. Abstract and poster presentation at Pediatric Academic Societies meeting on April 22, 2022 in Denver, CO.
Neural Transfer Learning for Cry-based Diagnosis of Perinatal Asphyxia
CC Onu, J Lebensold, WL Hamilton, D Precup, 20th Annual Conference of the International Speech Communication Association INTERSPEECH 2019.
SVM Approach to the Cry-based Diagnosis of birth Asphyxia
CC Onu, I Udeogu, E Ndiomu, U Kengni, D Precup, GM Sant'anna, EAD Alikor, P Opara, “Ubenwa: Cry-based Diagnosis of Birth Asphyxia”, Machine Learning for Development workshop, 31st Conference on Neural Information Processing Systems 2017
Harnessing infant cry for swift, cost-effective diagnosis of perinatal asphyxia in low resource settings
CC Onu, “Harnessing infant cry for swift, cost-effective diagnosis of perinatal asphyxia in low-resource settings,” IEEE International Humanitarian Technology Conference (IHTC), 2014

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