SPASHT: Semantic and Pragmatic Speech Features for Automatic Assessment of Autism

B Ashwini, V Narayan, J Shukla - ICASSP 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Language and communication impairments are considered one of the core features of
autism spectrum disorder (ASD). Quantifying the language atypicalities in autism is a …

Artificial Intelligence Driven Predictive Analysis of Acoustic and Linguistic Behaviours for ASD Identification

B Ashwini, S Gulati, J Shukla - IEEE Transactions on Artificial …, 2024 - ieeexplore.ieee.org
The identification of Autism Spectrum Disorder (ASD) faces challenges due to the lack of
reliable biomarkers and the subjectivity in diagnostic procedures, necessitating improved …

Exploring Speech Pattern Disorders in Autism using Machine Learning

C Hu, J Thrasher, W Li, M Ruan, X Yu, LK Paul… - arXiv preprint arXiv …, 2024 - arxiv.org
Diagnosing autism spectrum disorder (ASD) by identifying abnormal speech patterns from
examiner-patient dialogues presents significant challenges due to the subtle and diverse …

Audio Speech Signal Analysis for Early Autism Spectrum Disorder Detection

A Jaby, MB Islam - 2023 Innovations in Intelligent Systems and …, 2023 - ieeexplore.ieee.org
Autism Spectrum Disorder (ASD) is a neurodevel-opmental disorder that affects social
interaction, communication, and behavior. Recent studies have shown that vocal and …

Detecting autism spectrum disorders with machine learning models using speech transcripts

V Ramesh, R Assaf - arXiv preprint arXiv:2110.03281, 2021 - arxiv.org
Autism spectrum disorder (ASD) can be defined as a neurodevelopmental disorder that
affects how children interact, communicate and socialize with others. This disorder can occur …

Computational analysis of trajectories of linguistic development in autism

E Prud'hommeaux, E Morley… - 2014 IEEE Spoken …, 2014 - ieeexplore.ieee.org
Deficits in semantic and pragmatic expression are among the hallmark linguistic features of
autism. Recent work in deriving computational correlates of clinical spoken language …

Autism speech analysis using acoustic features

A Mohanta, VK Mittal - … of the 16th International Conference on …, 2019 - aclanthology.org
Autism speech has distinct acoustic patterns, different from normal speech. Analyzing
acoustic features derived from the speech of children affected with autism spectrum disorder …

Creating a diagnostic assessment model for autism spectrum disorder by differentiating lexicogrammatical choices through machine learning

S Kato, K Hanawa, M Saito, K Nakamura - Plos one, 2024 - journals.plos.org
This study explores the challenge of differentiating autism spectrum (AS) from non-AS
conditions in adolescents and adults, particularly considering the heterogeneity of AS and …

Combining voice and language features improves automated autism detection

H MacFarlane, AC Salem, L Chen, M Asgari… - Autism …, 2022 - Wiley Online Library
Variability in expressive and receptive language, difficulty with pragmatic language, and
prosodic difficulties are all features of autism spectrum disorder (ASD). Quantifying language …

Machine learning based automated speech dialog analysis of autistic children

A Wijesinghe, P Samarasinghe… - … on Knowledge and …, 2019 - ieeexplore.ieee.org
Children with autism spectrum disorder (ASD) have altered behaviors in communication,
social interaction, and activity, out of which communication has been the most prominent …