Cross-linguistic patterns of speech prosodic differences in autism: A machine learning study

Differences in speech prosody are a widely observed feature of Autism Spectrum Disorder (ASD). However, it is unclear how prosodic differences in ASD manifest across different languages that demonstrate cross-linguistic variability in prosody. Using a supervised machine-learning analytic approach, w...

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Main Authors: Joseph C. Y. Lau, Shivani Patel, Xin Kang, Kritika Nayar, Gary E. Martin, Jason Choy, Patrick C. M. Wong, Molly Losh
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9176813/?tool=EBI
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author Joseph C. Y. Lau
Shivani Patel
Xin Kang
Kritika Nayar
Gary E. Martin
Jason Choy
Patrick C. M. Wong
Molly Losh
author_facet Joseph C. Y. Lau
Shivani Patel
Xin Kang
Kritika Nayar
Gary E. Martin
Jason Choy
Patrick C. M. Wong
Molly Losh
author_sort Joseph C. Y. Lau
collection DOAJ
description Differences in speech prosody are a widely observed feature of Autism Spectrum Disorder (ASD). However, it is unclear how prosodic differences in ASD manifest across different languages that demonstrate cross-linguistic variability in prosody. Using a supervised machine-learning analytic approach, we examined acoustic features relevant to rhythmic and intonational aspects of prosody derived from narrative samples elicited in English and Cantonese, two typologically and prosodically distinct languages. Our models revealed successful classification of ASD diagnosis using rhythm-relative features within and across both languages. Classification with intonation-relevant features was significant for English but not Cantonese. Results highlight differences in rhythm as a key prosodic feature impacted in ASD, and also demonstrate important variability in other prosodic properties that appear to be modulated by language-specific differences, such as intonation.
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spelling doaj.art-5d752f0d25d04321832b326c5298759d2022-12-22T03:25:36ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01176Cross-linguistic patterns of speech prosodic differences in autism: A machine learning studyJoseph C. Y. LauShivani PatelXin KangKritika NayarGary E. MartinJason ChoyPatrick C. M. WongMolly LoshDifferences in speech prosody are a widely observed feature of Autism Spectrum Disorder (ASD). However, it is unclear how prosodic differences in ASD manifest across different languages that demonstrate cross-linguistic variability in prosody. Using a supervised machine-learning analytic approach, we examined acoustic features relevant to rhythmic and intonational aspects of prosody derived from narrative samples elicited in English and Cantonese, two typologically and prosodically distinct languages. Our models revealed successful classification of ASD diagnosis using rhythm-relative features within and across both languages. Classification with intonation-relevant features was significant for English but not Cantonese. Results highlight differences in rhythm as a key prosodic feature impacted in ASD, and also demonstrate important variability in other prosodic properties that appear to be modulated by language-specific differences, such as intonation.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9176813/?tool=EBI
spellingShingle Joseph C. Y. Lau
Shivani Patel
Xin Kang
Kritika Nayar
Gary E. Martin
Jason Choy
Patrick C. M. Wong
Molly Losh
Cross-linguistic patterns of speech prosodic differences in autism: A machine learning study
PLoS ONE
title Cross-linguistic patterns of speech prosodic differences in autism: A machine learning study
title_full Cross-linguistic patterns of speech prosodic differences in autism: A machine learning study
title_fullStr Cross-linguistic patterns of speech prosodic differences in autism: A machine learning study
title_full_unstemmed Cross-linguistic patterns of speech prosodic differences in autism: A machine learning study
title_short Cross-linguistic patterns of speech prosodic differences in autism: A machine learning study
title_sort cross linguistic patterns of speech prosodic differences in autism a machine learning study
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9176813/?tool=EBI
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