Natural speech analysis can provide insight into cognitive and mental health across an array of disorders from Alzheimer’s to schizophrenia. How can we embrace speech analysis as a tool to enhance awareness, along with predicting, diagnosing, and tracking disease? When combined with machine learning, voice analysis provides an unprecedented opportunity to monitor well-being through the creation of vocal biomarkers: signatures from speech that are associated with clinical outcomes. Listening not only to what people say, but how they say it—intonation, pace, pitch, word selection, and so on, etc. —could provide much-needed objective measures of mental and cognitive health. Experts on this panel will discuss emerging speech analysis technology and its power to promote health and timely access to care. 

Moderator

Emily Baxi

Director, Strategic Philanthropy, Milken Institute

Speakers

Nate Blaylock

Chief Technology Officer, Canary Speech

Grace Chang

CEO, Kintsugi Mindful Wellness, Inc.

Olivier Elemento

Professor of Physiology and Biophysics, Cornell University

Mark Hasegawa-Johnson

Professor, Department of Electrical and Computer Engineering, University of Illinois