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DTSTART:20231105T020000
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UID:ai1ec-21072@www.clsp.jhu.edu
DTSTAMP:20240328T204638Z
CATEGORIES;LANGUAGE=en-US:Seminars
CONTACT:
DESCRIPTION:
Abstract
\nEmotion has intrigued re
searchers for generations. This fascination has permeated the engineering
community\, motivating the development of affective computing methods. How
ever\, human emotion remains notoriously difficult to accurately detect. A
s a result\, emotion classification techniques are not always effective wh
en deployed. This is a problem because we are missing out on the potentia
l that emotion recognition provides: the opportunity to automatically meas
ure an aspect of behavior that provides critical insight into our health a
nd wellbeing\, insight that is not always easily accessible. In this talk
\, I will discuss our efforts in developing emotion recognition approaches
that are effective in natural environments and demonstrate how these appr
oaches can be used to support mental health.
\n\nBiography
\n\nEmily Mower Provost is an
Associate Professor in Computer Science and Engineering and Toyota Faculty
Scholar at the University of Michigan. She received her Ph.D. in Electric
al Engineering from the University of Southern California (USC)\, Los Ange
les\, CA in 2010. She has been awarded a National Science Foundation CAREE
R Award (2017)\, the Oscar Stern Award for Depression Research (2015)\, a
National Science Foundation Graduate Research Fellowship (2004-2007). She
is a co-author on the paper\, “Say Cheese vs. Smile: Reducing Speech-Relat
ed Variability for Facial Emotion Recognition\,” winner of Best Student Pa
per at ACM Multimedia\, 2014\, and a co-author of the winner of the Classi
fier Sub-Challenge event at the Interspeech 2009 emotion challenge. Her re
search interests are in human-centered speech and video processing\, multi
modal interfaces design\, and speech-based assistive technology. The goals
of her research are motivated by the complexities of the perception and e
xpression of human behavior.
DTSTART;TZID=America/New_York:20211206T120000
DTEND;TZID=America/New_York:20211206T131500
LOCATION:Maryland Hall 110 @ 3400 N. Charles Street\, Baltimore\, MD 21218
SEQUENCE:0
SUMMARY:Emily Mower-Provost (University of Michigan) “Automatically Measuri
ng Emotion from Speech: New Methods to Move from the Lab to the Real World
”
URL:https://www.clsp.jhu.edu/events/emily-mower-provost-university-of-michi
gan/
X-COST-TYPE:free
X-TAGS;LANGUAGE=en-US:2021\,December\,Mower-Provost
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