Quantification of speech and synchrony in the conversation of adults with autism spectrum disorder

Keiko Ochi, Nobutaka Ono, Keiho Owada, Masaki Kojima, Miho Kuroda, Shigeki Sagayama and Hidenori Yamasue

PLOS ONE, 2019, vol. 14, issue 12, 1-22

Abstract: Autism spectrum disorder (ASD) is a highly prevalent neurodevelopmental disorder characterized by impairments in social reciprocity and communication together with restricted interest and stereotyped behaviors. The Autism Diagnostic Observation Schedule (ADOS) is considered a ‘gold standard’ instrument for diagnosis of ASD and mainly depends on subjective assessments made by trained clinicians. To develop a quantitative and objective surrogate marker for ASD symptoms, we investigated speech features including F0, speech rate, speaking time, and turn-taking gaps, extracted from footage recorded during a semi-structured socially interactive situation from ADOS. We calculated not only the statistic values in a whole session of the ADOS activity but also conducted a block analysis, computing the statistical values of the prosodic features in each 8s sliding window. The block analysis identified whether participants changed volume or pitch according to the flow of the conversation. We also measured the synchrony between the participant and the ADOS administrator. Participants with high-functioning ASD showed significantly longer turn-taking gaps and a greater proportion of pause time, less variability and less synchronous changes in blockwise mean of intensity compared with those with typical development (TD) (p

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0225377

DOI: 10.1371/journal.pone.0225377

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