Employing classification techniques on SmartSpeech biometric data towards identification of neurodevelopmental disorders
Early detection and evaluation of children at risk of neurodevelopmental disorders and/or
communication deficits is critical. While the current literature indicates a high prevalence of …
communication deficits is critical. While the current literature indicates a high prevalence of …
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” …
Constructing features for screening neurodevelopmental disorders using grammatical evolution
Featured Application This study is part of an ongoing research project titled “Smart
Computing Models, Sensors, and Early diagnostic speech and language deficiencies …
Computing Models, Sensors, and Early diagnostic speech and language deficiencies …
Applying Neural Networks on Biometric Datasets for Screening Speech and Language Deficiencies in Child Communication
Screening and evaluation of developmental disorders include complex and challenging
procedures, exhibit uncertainties in the diagnostic fit, and require high clinical expertise …
procedures, exhibit uncertainties in the diagnostic fit, and require high clinical expertise …
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 …
A game-based smart system identifying developmental speech and language disorders in child communication: a protocol towards digital clinical diagnostic …
EI Toki, V Zakopoulou, G Tatsis, K Plachouras… - Interactive Mobile …, 2021 - Springer
Although a high prevalence of developmental speech/language disorders (3–17%) has
been reported in the current literature still many children are underdiagnosed resulting to …
been reported in the current literature still many children are underdiagnosed resulting to …
Acoustic features characterization of autism speech for automated detection and classification
A Mohanta, P Mukherjee… - 2020 National Conference …, 2020 - ieeexplore.ieee.org
The verbal children affected with autism spectrum disorder (ASD) often shows some notable
acoustic patterns. This paper represents the classification of autism speech, ie, the speech …
acoustic patterns. This paper represents the classification of autism speech, ie, the speech …
Automatic screening of children with speech sound disorders using paralinguistic features
Subjective screening of children with speech disorders is costly, time consuming and
infeasible due to the limited availability of Speech and Language Pathologists (SLPs) …
infeasible due to the limited availability of Speech and Language Pathologists (SLPs) …
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 …
DCNN: Deep Convolutional Neural Network with XAI for Efficient Detection of Specific Language Impairment in Children
Assessing children for specific language impairment (SLI) or other communication
impairments can be challenging for doctors due to the extensive battery of tests and …
impairments can be challenging for doctors due to the extensive battery of tests and …