AI identifies speech patterns in children with autism that were consistent between English and Cantonese

…“When you have languages that are so structurally different, any similarities in speech patterns seen in autism across both languages are likely to be traits that are strongly influenced by the genetic liability to autism,” said Losh, who is the Jo Ann G. and Peter F. Dolle Professor of Learning Disabilities at Northwestern.

“But just as interesting is the variability we observed, which may point to features of speech that are more malleable, and potentially good targets for intervention.”

Lau added that the use of machine learning to identify the key elements of speech that were predictive of autism represented a significant step forward for researchers, who have been limited by English language bias in autism research and humans’ subjectivity when it came to classifying speech differences between people with autism and those without.

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