Toward Remote Patient Monitoring of Speech, Video, Cognitive and Respiratory Biomarkers Using Multimodal Dialog Technology

Abstract

We demonstrate a multimodal conversational platform for remote patient diagnosis and monitoring. The platform engages patients in an interactive dialog session and automatically computes metrics relevant to speechacoustics and articulation, oro-motor and oro-facial movement, cognitive function and respiratory function. The dialog session includes a selection of exercises that have been widely used in both speech language pathology research as well as clinical practice - an oral motor exam, sustained phonation, diadochokinesis, read speech, spontaneous speech, spirometry, picture description, emotion elicitation and other cognitive tasks. Finally, the system automatically computes speech, video, cognitive and respiratory biomarkers that have been shown to be useful in capturing various aspects of speech motor function and neurological health and visualizes them in a user-friendly dashboard.

Publication
In Proceedings of the 21st Annual Conference of the International Speech Communication Association (Interspeech)