Objective Assessment of Autism Spectrum Disorder Using Prosodic Features in Structured Speech Tasks

This study compared prosodic features (pitch, intensity, timing) between adults with high-functioning ASD and typically developing controls using structured acting-out tasks with 29 scripts. Machine learning models achieved 90.4% accuracy in classifying ASD versus typical development groups, suggesting potential for developing audio-based objective assessment tools for ASD.