Inferring Mental Illness from Voice
Date
Apr 21, 2022 15:00 — 17:00
Location
Online
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Invited talk at the Data Science for Mental Health group at the Alan Turing institute. Talk based on the paper “A generalizable speech emotion recognition model reveals depression and remission”, and the pitfalls and prospects of classifying mental illness from voice.
Lasse Hansen
PhD Student in Machine Learning for Healthcare
I am PhD student at the Department of Clinical Medicine at Aarhus University. I study how to use natural language processing and machine learning to improve patient outcomes in psychiatry. I am broadly interested in applying machine learning to solve real world problems, and in advancing open-source software.