Due to the complex and intricate nature associated with their production, the acoustic-
prosodic properties of a speech signal are modulated with a range of health related effects …

Major depressive disorder (MDD) is known to result in neurophysiological and
neurocognitive changes that affect control of motor, linguistic, and cognitive functions. MDD's …

Although smartphone technology provides new opportunities for the recording of speech
samples in everyday life, its ability to capture prodromal speech impairment in persons with …

The ability to track depression severity over time using passive sensing of speech would
enable frequent and inexpensive monitoring, allowing rapid assessment of treatment …

To assist the clinical diagnosis and treatment of neurological diseases that cause speech
dysarthria such as Parkinson's disease (PD), it is of paramount importance to craft robust …

The massive and growing burden imposed on modern society by depression has motivated
investigations into early detection through automated, scalable and non-invasive methods …

Parkinson's disease (PD) is a chronic movement disorder that produces a variety of
characteristic movement abnormalities. The ubiquity of wrist-worn accelerometry suggests a …

Improved performance in speech applications using deep neural networks (DNNs) has
come at the expense of reduced model interpretability. For consumer applications this is not …

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 …