NeuRO: An Application for Code-Switched Autism Detection in Children

Fuente: arXiv
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Main Authors: Akhtar, Mohd Mujtaba, Girish, Phukan, Orchid Chetia, Singh, Muskaan
Format: Preprint
Published: 2024
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author Akhtar, Mohd Mujtaba
Girish
Phukan, Orchid Chetia
Singh, Muskaan
author_facet Akhtar, Mohd Mujtaba
Girish
Phukan, Orchid Chetia
Singh, Muskaan
contents Code-switching is a common communication phenomenon where individuals alternate between two or more languages or linguistic styles within a single conversation. Autism Spectrum Disorder (ASD) is a developmental disorder posing challenges in social interaction, communication, and repetitive behaviors. Detecting ASD in individuals with code-switch scenario presents unique challenges. In this paper, we address this problem by building an application NeuRO which aims to detect potential signs of autism in code-switched conversations, facilitating early intervention and support for individuals with ASD.
format Preprint
id arxiv_https___arxiv_org_abs_2406_03514
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle NeuRO: An Application for Code-Switched Autism Detection in Children
Akhtar, Mohd Mujtaba
Girish
Phukan, Orchid Chetia
Singh, Muskaan
Audio and Speech Processing
Code-switching is a common communication phenomenon where individuals alternate between two or more languages or linguistic styles within a single conversation. Autism Spectrum Disorder (ASD) is a developmental disorder posing challenges in social interaction, communication, and repetitive behaviors. Detecting ASD in individuals with code-switch scenario presents unique challenges. In this paper, we address this problem by building an application NeuRO which aims to detect potential signs of autism in code-switched conversations, facilitating early intervention and support for individuals with ASD.
title NeuRO: An Application for Code-Switched Autism Detection in Children
topic Audio and Speech Processing
url https://arxiv.org/abs/2406.03514