Comparison of Supervised-Learning Models and Auditory Discrimination of Infant Cries for the Early Detection of Developmental Disorders / Vergleich von Supervised-Learning Klassifikationsmodellen und menschlicher auditiver Diskriminationsfähigkeit zur Unterscheidung von Säuglingsschreien mit kongenitalen Entwicklungsstörungen
Abstract:Infant cry classification can be performed in two ways: computational classification of cries or auditory discrimination by human listeners. This article compares both approaches.
An auditory listening experiment was performed to examine if various listener groups (naive listeners, parents, nurses/midwives and therapists) were able to distinguish auditorily between healthy and pathological cries as well as to differentiate various pathologies from each other.
Listeners were trained in hearing cries of healthy … Show more
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.