scholarly journals Evaluation of Altered Functional Connections in Male Children With Autism Spectrum Disorders on Multiple-Site Data Optimized With Machine Learning

2019 ◽  
Vol 10 ◽  
Author(s):  
Giovanna Spera ◽  
Alessandra Retico ◽  
Paolo Bosco ◽  
Elisa Ferrari ◽  
Letizia Palumbo ◽  
...  
Keyword(s):  
Machine Learning ◽  
Autism Spectrum Disorders ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Multiple Site ◽  
Functional Connections ◽  
Spectrum Disorders

Detecting Abnormal Word Utterances in Children With Autism Spectrum Disorders

2017 ◽  
Vol 124 (5) ◽  
pp. 961-973 ◽  
Author(s):  
Yasushi Nakai ◽  
Tetsuya Takiguchi ◽  
Gakuyo Matsui ◽  
Noriko Yamaoka ◽  
Satoshi Takada
Keyword(s):  
Machine Learning ◽  
Autism Spectrum Disorders ◽  
False Negative ◽  
False Negative Rate ◽  
Children With Autism ◽  
Autism Spectrum ◽  
Single Word ◽  
Voice Analysis ◽  
Spectrum Disorders ◽  
Speech Therapists

Abnormal prosody is often evident in the voice intonations of individuals with autism spectrum disorders. We compared a machine-learning-based voice analysis with human hearing judgments made by 10 speech therapists for classifying children with autism spectrum disorders ( n = 30) and typical development ( n = 51). Using stimuli limited to single-word utterances, machine-learning-based voice analysis was superior to speech therapist judgments. There was a significantly higher true-positive than false-negative rate for machine-learning-based voice analysis but not for speech therapists. Results are discussed in terms of some artificiality of clinician judgments based on single-word utterances, and the objectivity machine-learning-based voice analysis adds to judging abnormal prosody.

Disfluency Characteristics Observed in Young Children With Autism Spectrum Disorders: A Preliminary Report

2010 ◽  
Vol 20 (2) ◽  
pp. 42-50 ◽  
Author(s):  
Laura W. Plexico ◽  
Julie E. Cleary ◽  
Ashlynn McAlpine ◽  
Allison M. Plumb
Keyword(s):  
Autism Spectrum Disorders ◽  
Young Children ◽  
Children With Autism ◽  
Descriptive Study ◽  
Autism Spectrum ◽  
Typically Developing ◽  
Children With Asd ◽  
Young Children With Autism ◽  
Spectrum Disorders ◽  
Developmental Stuttering

This descriptive study evaluates the speech disfluencies of 8 verbal children between 3 and 5 years of age with autism spectrum disorders (ASD). Speech samples were collected for each child during standardized interactions. Percentage and types of disfluencies observed during speech samples are discussed. Although they did not have a clinical diagnosis of stuttering, all of the young children with ASD in this study produced disfluencies. In addition to stuttering-like disfluencies and other typical disfluencies, the children with ASD also produced atypical disfluencies, which usually are not observed in children with typically developing speech or developmental stuttering. (Yairi & Ambrose, 2005).

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