Hypokinetic dysarthria (HD) occurs in 90% of Parkinson's disease (PD) patients. It manifests
specifically in the areas of articulation, phonation, prosody, speech fluency, and faciokinesis …

The objective of this paper is to present the state of-the-art relating to automatic speech and
voice analysis techniques as applied to the monitoring of patients suffering from Alzheimer's …

COVID-19, otherwise known as the coronavirus, has precipitated the world into a pandemic
that has infected, as of the time of writing, more than 10 million persons worldwide and …

An assessment of vocal impairment is presented for separating healthy people from persons
with early untreated Parkinson's disease (PD). This study's main purpose was to (a) …

Automatic detection of voice pathology enables objective assessment and earlier
intervention for the diagnosis. This study provides a systematic analysis of glottal source …

This paper evaluates the accuracy of different characterization methods for the automatic
detection of multiple speech disorders. The speech impairments considered include …

The preliminary diagnosis and evaluation of the presence and/or severity of Parkinson's
disease is crucial in controlling the progress of the disease. Real-time, non-invasive …

This paper presents a study of the approaches in the state-of-the-art in the field of
pathological speech signal analysis with a special focus on parametrization techniques. It …

This paper proposes a new approach to improve the amount of information extracted from
the speech aiming to increase the accuracy of a system developed for the automatic …

Developmental dysgraphia, being observed among 10-30% of school-aged children, is a
disturbance or difficulty in the production of written language that has to do with the …