Detection and Diagnosis of Learning Disabilities in Children of Saudi Arabia with Artificial Intelligence
Learning Disability (LD) is an umbrella term for various learning difficulties. It is a
neurological disorder that affects the brain of children and hinders their capacity to do one or …
neurological disorder that affects the brain of children and hinders their capacity to do one or …
Evaluation of supervised learning algorithms based on speech features as predictors to the diagnosis of mild to moderate intellectual disability
G Aggarwal, L Singh - 3D Research, 2018 - Springer
Due to age-bound onset of symptoms used for diagnosis of mild to moderate intellectual
disability, early diagnosis of these problems has long been a difficult issue. The diagnosis …
disability, early diagnosis of these problems has long been a difficult issue. The diagnosis …
Classification of intellectual disability using LPC, LPCC, and WLPCC parameterization techniques
G Aggarwal, L Singh - International Journal of Computers and …, 2019 - Taylor & Francis
The goal of this study is to present a comparative analysis between the three feature
extraction techniques: Linear Predictive Coefficients (LPC), Linear Prediction Cepstral …
extraction techniques: Linear Predictive Coefficients (LPC), Linear Prediction Cepstral …
One-dimensional convolutional neural network and hybrid deep-learning paradigm for classification of specific language impaired children using their speech
Background and objective Screening children for communicational disorders such as
specific language impairment (SLI) is always challenging as it requires clinicians to follow a …
specific language impairment (SLI) is always challenging as it requires clinicians to follow a …
[PDF][PDF] A deep learning based evaluation of articulation disorder and learning assistive system for autistic children
ABSTRACT Automatic Speech Recognition (ASR) is a thriving technology, which permits an
application to detect the spoken words or the speaker using computer. This work isfocused …
application to detect the spoken words or the speaker using computer. This work isfocused …
Prediction of Specific Language Impairment in Children using Cepstral Domain Coefficients
Specific Language Impairment (SLI) is a language disorder which prevents children from
achieving language skills. Children that are affected with SLI are late to speak and may not …
achieving language skills. Children that are affected with SLI are late to speak and may not …
Prediction of specific language impairment in children using speech linear predictive coding coefficients
Specific language impairment (SLI) is a kind of neurodevelopmental disorders which could
disturb the speech production and language comprehension ability of a child. The …
disturb the speech production and language comprehension ability of a child. The …
Comparisons of speech parameterisation techniques for classification of intellectual disability using machine learning
G Aggarwal, L Singh - … on physical and intellectual disabilities in an …, 2022 - igi-global.com
Classification of intellectually disabled children through manual assessment of speech at an
early age is inconsistent, subjective, time-consuming and prone to error. This study attempts …
early age is inconsistent, subjective, time-consuming and prone to error. This study attempts …
Machine Learning for Predicting Neurodevelopmental Disorders in Children
Featured Application This study is an extension of the “Smart Computing Models, Sensors,
and Early Diagnostic Speech and Language Deficits Indicators in Child Communication” …
and Early Diagnostic Speech and Language Deficits Indicators in Child Communication” …
[PDF][PDF] Towards developing impairments arabic speech dataset using deep learning
SR Shareef, YFU Al-Irhayim - Indonesian Journal of Electrical …, 2022 - researchgate.net
The effective and efficient recognition of speech sounds errors for impaired children is
important if a defective phonological process is early detected and corrected. This study …
important if a defective phonological process is early detected and corrected. This study …