Production of syllable stress in speakers with autism spectrum disorders
Section snippets
Participants
Speech samples were collected for 66 subjects; 46 with autism spectrum disorders (ASD) and 20 with typical development (TD). These participants with ASD comprised all the individuals with any form of ASD who were seen in conjunction with ongoing studies of high functioning autism at the Yale Child Study Center's Developmental Disabilities Section within a 2-year time period. To qualify for the high functioning study, subjects were required to have a diagnosis within the ASD spectrum, a verbal
Results
Correlational analysis was used to determine whether there were relationships among any of the subjects’ diagnostic characteristics (e.g., PIQ, VIQ, Vineland and ADOS scores) and results of the analysis of stress production. The only variable that showed any significant correlation with measures of stress production was Verbal IQ (r = −0.33 and −0.45 with stressed and unstressed accent range, respectively). For this reason, all analyses were done using VIQ as a covariate, to control for its
Discussion
The findings of this analysis of production of stress in nonsense syllables by speakers with autism revealed that there were small but significant differences in the ability to produce syllables perceived by listeners as stressed and unstressed in this imitation task. We also found greater variability in the perceptual analysis for subjects with HFA and PDD-NOS than those with TD or AS. Instrumental analysis revealed that there were no significant differences in the pitch ranges produced within
Acknowledgements
We wish to express our appreciation to Prof. Frank Sansone for his assistance in utilizing the CSL program for these analyses, to Prof. David Snow for his guidance in the use of the accent range measure, to Jeffrey Weihing for his help in refining our analysis procedures, as well as to Elizabeth Schoen and Carolyn Gosse for their help in establishing reliability and preparing data for analysis. We also extend our gratitude to John Bianchi for his assistance with data formatting and analysis.
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