Speech signals convey speaker's neurodevelopmental state along with phonological
information. Recognize a speech disorder by analyzing the speech is essential for human …

The goal of this study is to present a comparative analysis between the three feature
extraction techniques: Linear Predictive Coefficients (LPC), Linear Prediction Cepstral …

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 …

Automatic recognition of the speech of children is a challenging topic in computer-based
speech recognition systems. Conventional feature extraction method namely Mel-frequency …

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 …

A wide range of researches are carried out in speech signal processing for denoising,
enhancement and more. Besides the other, stress management is important to improve …

Speech development usually involves the ability to perceive the dialectal architecture of a
language, which is responsible for the production of sound and finally utter the appropriate …

The main motive of this work is to discriminate a vital neurodegenerative condition of
Parkinson Disease (PD) affected patients from individuals with no history of such a disorder …

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 …

Abstract Specific Language Impairment is a communication disorder regarding the mastery
of language and conversation that impacts children. The system proposed aims to provide …