Classifying Autism From Crowdsourced Semistructured Speech Recordings: Machine Learning Model Comparison Study.

Our models were able to predict autism status when trained on a varied selection of home audio clips with inconsistent recording qualities, which may be more representative of real-world conditions. The results demonstrate that machine learning methods offer promise in detecting autism automatically from speech without specialized equipment.