Ethan Weed

This study evaluates how well machine learning models identify autism from speech across different contexts and languages, finding limited generalizability.

The paper conducts a cross-linguistic meta-analysis of acoustic markers in autistic children, identifying reliable but small acoustic differences and highlighting the need for more diverse datasets.

This paper reviews acoustic prosody studies in right-hemisphere damage, finding weak effects and highlighting methodological limitations.