#5891. Analysis and classification of speech sounds of children with autism spectrum disorder using acoustic features

August 2026publication date
Proposal available till 03-06-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Theoretical Computer Science;
Human-Computer Interaction;
Software;
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Abstract:
Children with autism spectrum disorder (ASD) produce speech sounds different from that of Normal or non-ASD children. Hence, analyzing acoustic features can help characterizing the ASD speech signals. In this study, the distinguishing characteristics of speech production are examined for ASD affected children, with comparison to Normal childrens speech. Acoustic features are analyzed first and then classification of ASD vs Normal speech is attempted using different machine learning techniques. Two speech sound databases are recorded for this study: the speech database of children with ASD and the speech database of Normal children.
Keywords:
Autism spectrum disorder; Dominant frequencies; English vowels; Formant frequencies; p-value; Probabilistic neural network; Strength of excitation

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