MENU Emily Mower Provost
University Professors talk using AI technology for bipolar disorder
Two professors involved in the intersection of artificial intelligence and mental health shared their work Friday evening at the Ann Arbor District Library in partnership with the University of Michigan’s AI Laboratory.Interspeech 2019 — Machine Learning-enabled Creativity and Innovation In Speech Tech
Coverage of Interspeech 2019, including Prof. Emily Mower Provost's research on automatically detecting suicidal ideation from natural phone conversations.Student awarded NSF Fellowship for automating speech-based disease classification
Perez’s research focuses on analyzing speech patterns of patients with Huntington Disease.
Precision Health Award for measuring moods
The result will be new measurement methods to determine how moods are shaped by both the behavior of an individual and daily interactions over time
Outstanding student research on display
The College of Engineering’s annual Graduate Symposium displays the latest in graduate student research, representing the cutting edge in areas spanning each department’s field of impact.
The logic of feeling: Teaching computers to identify emotions
A Q&A with machine learning expert Emily Mower Provost.
Detecting Huntington’s disease with an algorithm that analyzes speech
New, preliminary research found automated speech test accurately diagnoses Huntington’s disease 81 percent of the time and tracks the disease’s progression.
Zakaria Aldeneh selected for IBM Ph.D. Fellowship
Aldeneh’s research focuses on identifying the features of speech that make human interaction feel natural.
Emily Mower Provost receives NSF CAREER Award to develop emotion and mood recognition for mental health monitoring and treatment
Prof. Mower Provost’s research interests are in human-centered speech and video processing, multimodal interfaces design, and speech-based assistive technology.
Collecting data to better identify bipolar disorder
Prof. Emily Mower Provost is collaborating to develop new technologies that provide individuals with insight into how the disease changes over time.