Speech carries essential information about the speaker's physiology and possible
pathophysiological conditions. Bio-acoustic voice qualities show promising value for …

Depression is one of the significant contributors to the global burden disease, affecting
nearly 264 million people worldwide along with the increasing rate of suicidal deaths …

Epidemiological studies report high levels of anxiety and depression amongst adolescents.
These psychiatric conditions and complex interplays of biological, social and environmental …

Introduction As a biomarker of depression, speech signal has attracted the interest of many
researchers due to its characteristics of easy collection and non-invasive. However, subjects' …

The Covid-19 pandemic, a disease transmitted by the SARS-CoV-2 virus, has already
caused the infection of more than 120 million people, of which 70 million have been …

There is a substantial unmet need to diagnose speech-related disorders effectively. Machine
learning (ML), as an area of artificial intelligence (AI), enables researchers, physicians, and …

Early detection of depression allows rapid intervention and reduce the escalation of the
disorder. Conventional method requires patient to seek diagnosis and treatment by visiting a …

In this study we intend to use speech analysis to analyze the cognitive impairments caused
by pathologies of vascular origin such as diabetes, hypertension, hypercholesterolemia and …

Purpose Electroencephalography (EEG) signals are valuable in the monitoring and
investigation of neurological diseases and in the control of brain-machine interfaces (BCI) …

Lesions in the brain resulting from traumatic injuries or strokes can evolve into speech
dysfunction in undiagnosed patients. Employing ML-based tools to analyze the prosody or …