Background Alzheimer's disease has become one of the most common neurodegenerative
diseases worldwide, which seriously affects the health of the elderly. Early detection and …

Dementia is a progressive neurodegenerative disease that burdens the person living with
the disease, their families, and medical and social services. Timely diagnosis of dementia …

Automatic detection and severity level classification of dysarthria directly from acoustic
speech signals can be used as a tool in medical diagnosis. In this work, the pre-trained …

Early diagnosis of Alzheimer's disease (AD) is crucial in facilitating preventive care to delay
further progression. This paper presents the development of a state-of-the-art Conformer …

State-of-the-art automatic speech recognition (ASR) systems perform well on healthy
speech. However, the performance on impaired speech still remains an issue. The current …

Automated techniques to detect Alzheimer's Dementia through the use of audio recordings
of spontaneous speech are now available with varying degrees of reliability. Here, we …

Alzheimer's disease (AD) constitutes a neurodegenerative disease with serious
consequences to peoples' everyday lives, if it is not diagnosed early since there is no …

Abstract Background Detecting and analyzing Alzheimer's disease (AD) in its early stages is
a crucial and significant challenge. Speech data from AD patients can aid in diagnosing AD …

Automatic detection and severity level classification of dysarthria from speech enables non-
invasive and effective diagnosis that helps clinical decisions about medication and therapy …

Speech and language disturbances have been observed from the early stages of
Alzheimer's disease (AD), including mild cognitive impairment (MCI), and speech analysis …