The growing and aging of the world population have driven the shortage of medical
resources in recent years, especially during the COVID-19 pandemic. Fortunately, the rapid …

Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches
that employ artificial intelligence and notably deep learning, have been extensively …

Imprecise vowel articulation can be observed in people with Parkinson's disease (PD).
Acoustic features measuring vowel articulation have been demonstrated to be effective …

Speech from people with Parkinson's disease (PD) are likely to be degraded on phonation,
articulation, and prosody. Motivated to describe articulation deficits comprehensively, we …

This paper presents the" Ethiopian" system for the SLT 2021 Children Speech Recognition
Challenge. Various data processing and augmentation techniques are proposed to tackle …

Assistive tools that recognize impaired speech due to neurological disorders are emerging
and its a fairly complex task. An Intelligent Impaired Speech Recognition system helps …

Assistive speech technology is a challenging task because of the impaired nature of
dysarthric speech, such as breathy voice, strained speech, distorted vowels, and …

Aphasia is a communication disorder that hinders the ability to express and communicate
with society. Aphasia individual can face difficulties in sentence formation, opinions and …

Voice pathology detection (VPD) aims to accurately identify voice impairments by analyzing
speech signals. This study proposes models based on deep learning (DL) for binary …

Aphasia is a communication disability that falls under the category of neurological speech
disorder. The main cause of the aphasia individual speech impairment damages certain …