Detecting depression using vocal, facial and semantic communication cues

JR Williamson, E Godoy, M Cha… - Proceedings of the 6th …, 2016 - dl.acm.org
Major depressive disorder (MDD) is known to result in neurophysiological and
neurocognitive changes that affect control of motor, linguistic, and cognitive functions. MDD's …

Vocal and facial biomarkers of depression based on motor incoordination and timing

JR Williamson, TF Quatieri, BS Helfer… - Proceedings of the 4th …, 2014 - dl.acm.org
In individuals with major depressive disorder, neurophysiological changes often alter motor
control and thus affect the mechanisms controlling speech production and facial expression …

Use of speech analyses within a mobile application for the assessment of cognitive impairment in elderly people

A Konig, A Satt, A Sorin, R Hoory… - Current Alzheimer …, 2018 - ingentaconnect.com
Background: Various types of dementia and Mild Cognitive Impairment (MCI) are manifested
as irregularities in human speech and language, which have proven to be strong predictors …

[PDF][PDF] Speech-Based Detection of Alzheimer's Disease in Conversational German.

J Weiner, C Herff, T Schultz - Interspeech, 2016 - isca-archive.org
The worldwide population is aging. With a larger population of elderly people, the numbers
of people affected by cognitive impairment such as Alzheimer's disease are growing …

Tracking depression severity from audio and video based on speech articulatory coordination

JR Williamson, D Young, AA Nierenberg… - Computer Speech & …, 2019 - Elsevier
The ability to track depression severity over time using passive sensing of speech would
enable frequent and inexpensive monitoring, allowing rapid assessment of treatment …

[PDF][PDF] Assessing Neuromotor Coordination in Depression Using Inverted Vocal Tract Variables.

CY Espy-Wilson, AC Lammert, N Seneviratne… - Interspeech, 2019 - isca-archive.org
Speech articulation is a complex activity that requires finely timed coordination across
articulators, ie, tongue, jaw, lips, and velum. In a depressed state involving psychomotor …

Generalized two-stage rank regression framework for depression score prediction from speech

N Cummins, V Sethu, J Epps… - IEEE Transactions …, 2017 - ieeexplore.ieee.org
This paper introduces a novel speech-based depression score prediction paradigm, the 2-
stage ranking prediction framework, and highlights the benefits it brings to depression …

[PDF][PDF] Segment-dependent dynamics in predicting parkinson's disease.

JR Williamson, TF Quatieri, BS Helfer, J Perricone… - Interspeech, 2015 - isca-archive.org
Early, accurate detection of Parkinson's disease may aid in possible intervention and
rehabilitation. Thus, simple noninvasive biomarkers are desired for determining severity. In …

[PDF][PDF] Cognitive impairment prediction in the elderly based on vocal biomarkers

B Yu, TF Quatieri, JR Williamson… - … Annual Conference of …, 2015 - researchgate.net
Remote, automated cognitive impairment (CI) diagnosis has the potential to facilitate care for
the elderly. Speech is easily collected over the phone and already some common cognitive …

Vocal markers of motor, cognitive, and depressive symptoms in Parkinson's disease

KM Smith, JR Williamson… - … Conference on Affective …, 2017 - ieeexplore.ieee.org
Patients with Parkinson's disease (PD) often suffer from cognitive impairment and
depression in addition to motor dysfunction. These non-motor symptoms may be challenging …