Detecting Depression Through Voice: Challenges and Breakthroughs
Dear Faculty,
The Rector's Lecture Series is a wonderful opportunity to engage with academics from different fields and share the fruits of their research and ideas.
You are cordially invited to the second lecture of this academic year to be given by
Dr. Dan Vilenchik from the School of Electrical and Computer Engineering, entitled "Detecting Depression Through Voice: Challenges and Breakthroughs ".
Following the lecture and Q&A, you are invited to meet colleagues and continue the discussion over refreshments.
The lecture will be on the 05/01/2026 at 14:00, in the Senate Hall.
Please RSVP
With best wishes,
Chaim
About the Lecture
In this talk, we explore the use of voice analysis as a tool for detecting depression, a vital mental health issue affecting millions globally. We will discuss the unique challenges faced in this area, including the complexity of accurately detecting emotional states from acoustic features and the difficulties of working with small datasets. In this talk we will survey a novel pipeline for data collection, involving personal interviews and clinically validated labeling methods. By leveraging machine learning, we demonstrate how high-quality, targeted data can enhance the accuracy of depression detection, achieving significant improvements over traditional methods. Join us as we delve into the intersection of voice, technology, and mental health and showcase the potential for innovative solutions in mental health care. |
