Detecting Cry in Daylong Audio Recordings Using Machine Learning: The Development and Evaluation of Binary Classifiers
Published online on December 30, 2025
Abstract
Assessment, Ahead of Print.
Atypical cry in infants/toddlers may serve as early, ecologically valid, and scalable indicators of irritability, a transdiagnostic mental health risk marker. Machine learning may identify cry in daylong audio recordings toward predicting outcomes. We ...
Atypical cry in infants/toddlers may serve as early, ecologically valid, and scalable indicators of irritability, a transdiagnostic mental health risk marker. Machine learning may identify cry in daylong audio recordings toward predicting outcomes. We ...