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 …

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 …

Detection and Diagnosis of Learning Disabilities in Children of Saudi Arabia with Artificial Intelligence

M Alshehri, S Sharma, P Gupta, SR Shah - 2023 - researchsquare.com
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 …

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 …

Classification of children with sli through their speech utterances

P Grill - World Congress on Medical Physics and Biomedical …, 2019 - Springer
Many young children have speech disorders. The research focused on one such disorder,
known as specific language impairment (SLI) or developmental dysphasia in Czech (DD). A …

A novel hybrid PSO assisted optimization for classification of intellectual disability using speech signal

G Aggarwal, R Monga, SP Gochhayat - Wireless Personal …, 2020 - Springer
Speech signals convey speaker's neurodevelopmental state along with phonological
information. Recognize a speech disorder by analyzing the speech is essential for human …

Audio texture and age-wise analysis of disordered speech in children having specific language impairment

G Sharma, XP Zhang, K Umapathy… - … Signal Processing and …, 2021 - Elsevier
A child suffering from specific language impairment (SLI) or developmental dysphasia (DD)
has delayed speech and disordered language development with no apparent reason …

[HTML][HTML] Discrimination of mild cognitive impairment based on involuntary changes caused in voice elements

M Higuchi, M Nakamura, Y Omiya, S Tokuno - Frontiers in Neurology, 2023 - frontiersin.org
In this study, the technique associated with the capturing involuntary changes in voice
elements caused by diseases is applied to diagnose them and a voice index is proposed to …

[HTML][HTML] Classification of voice disorder in children with cochlear implantation and hearing aid using multiple classifier fusion

Z Mahmoudi, S Rahati, MM Ghasemi… - Biomedical engineering …, 2011 - Springer
Background Speech production and speech phonetic features gradually improve in children
by obtaining audio feedback after cochlear implantation or using hearing aids. The aim of …

[HTML][HTML] Machine Learning for Predicting Neurodevelopmental Disorders in Children

EI Toki, IG Tsoulos, V Santamato, J Pange - Applied Sciences, 2024 - mdpi.com
Featured Application This study is an extension of the “Smart Computing Models, Sensors,
and Early Diagnostic Speech and Language Deficits Indicators in Child Communication” …