Telehealth is increasingly gaining recognition in the fields of neurology and speech-pathology (SLP) as a means of addressing accessibility issues experienced by people with PD. We present one potential solution -- a conversational artificial …
The need for remote monitoring to support Parkinson’s Disease (PD) patients, caregivers, and healthcare professionals in their collaborative efforts for better care has never been greater. We have earlier presented Tina, a virtual agent that is …
Speaking and articulation duration have been shown to be important biomarkers of disorder severity in ALS and other motor speech disorders. While signal processing algorithms afford significant advantages over manual annotation in that they allow for …
Continuous monitoring of ALS symptoms is crucial to improve quality of life because both survival and progression rate can vary substantially between individuals. Speech and facial biomarkers can serve as useful proxies for disease progression and …
Conversational dialog technology is increasingly being recognized as auseful means of automating remote patient monitoring and diagnostics for dysarthric speakers at scale. However, the characteristics of dysarthric speech introduce multiple …
The causes of schizophrenia are complex and largely unknown. Current treatments focus on the management of positive or psychotic symptoms. However, negative symptoms like lack of facial and verbal expression, monotone speech, social withdrawal and …
We explore the utility of an on-demand multimodal conversational platform in extracting speech and facial metrics in children with Autism Spectrum Disorder (ASD). We investigate the extent to which these metrics correlate with objective clinical …
We propose a cloud-based multimodal dialog platform for the remote assessment and monitoring of Amyotrophic Lateral Sclerosis (ALS) at scale. This paper presents our vision, technology setup, and an initial investigation of the efficacy of the …
Human emotion detection has received increasing attention over the last decades for a variety of applications and systems. However, detecting the intensity of the expressed emotion has not been investigated as much as detecting the type of the …