論文

査読有り 国際誌
2019年

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

PloS one
  • Keiko Ochi
  • ,
  • Nobutaka Ono
  • ,
  • Keiho Owada
  • ,
  • Masaki Kojima
  • ,
  • Miho Kuroda
  • ,
  • Shigeki Sagayama
  • ,
  • Hidenori Yamasue

14
12
開始ページ
e0225377
終了ページ
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1371/journal.pone.0225377

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<0.05 corrected). In addition, the ASD group had significantly wider distribution than the TD group in the within-participant variability of blockwise mean of log F0 (p<0.05 corrected). The clinical diagnosis could be discriminated using the speech features with 89% accuracy. The features of turn-taking and pausing were significantly correlated with deficits of ASD in reciprocity (p<0.05 corrected). Additionally, regression analysis provided 1.35 of mean absolute error in the prediction of deficits in reciprocity, to which the synchrony of intensity especially contributed. The findings suggest that considering variance of speech features, interaction and synchrony with conversation partner are critical to characterize atypical features in the conversation of people with ASD.

リンク情報
DOI
https://doi.org/10.1371/journal.pone.0225377
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/31805131
PubMed Central
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894781
ID情報
  • DOI : 10.1371/journal.pone.0225377
  • PubMed ID : 31805131
  • PubMed Central 記事ID : PMC6894781

エクスポート
BibTeX RIS