A systematic review of the literature on statistical and machine learning schemes for
identifying symptoms of developmental stuttering from audio recordings is reported. Twenty …

Huntington's Disease (HD) is a devastating neurodegenerative disorder characterized by
progressive motor dysfunction, cognitive impairment, and psychiatric symptoms. The early …

Assessing the severity level of dysarthria can provide an insight into the patient's
improvement, assist pathologists to plan therapy, and aid automatic dysarthric speech …

Internet-connected devices, such as smartphones, smartwatches, and laptops, have become
ubiquitous in modern life, reaching ever deeper into our private spheres. Among the sensors …

Purpose: Over the past decade, the signal processing and machine learning literature has
demonstrated notable advancements in automated speech processing with the use of …

Objective Neurodegenerative diseases affect millions of families around the world, while
various wearable sensors and corresponding data analysis can be of great support for …

We adopt Bidirectional Long Short-Term Memory (BiLSTM) neural network and Wavelet
Scattering Transform with Support Vector Machine (WST-SVM) classifier for detecting …

Background Remote health monitoring with wearable sensor technology may positively
impact patient self-management and clinical care. In individuals with complex health …

Automated dysarthria severity identification can aid clinicians in monitoring the patient's
progress, and can improve the performance of dysarthric speech recognition systems. In this …

Neurodegenerative diseases occur because of degeneration in brain cells but can manifest
as impairment of motor functions. One of the side effects of this impairment is an abnormality …