Maarten Van Segbroeck currently works as a Research Associate at the University of Southern California, Los Angeles.

In July 2005, he was awarded the degree of M.Sc. in Electrical Engineering magna cum laude by the Katholieke Universiteit Leuven, Belgium. He joined the PSI Speech Group at the department of Electrical Engineering (ESAT) of the Katholieke Universiteit Leuven in August 2005. Until March 2010, he has been a research assistant of the Institute for the Promotion of Innovation through Science and Technology in Flanders, Belgium (IWT-Flanders). In January 2010, he received the Ph.D. degree in Engineering. His PhD topic was "Robust Large Vocabulary Continuous Speech Recognition using Missing Data Techniques". After a short period of working as an Engineering an IT consultant in Belgium, he joined in May 2012 the Signal Analysis and Interpretation Laboratory (SAIL) at the University of Southern California, Los Angeles as a postdoctoral researcher. 

His main focus and interests are:
  • robust signal processing, 
  • front-end techniques for speech recognition, 
  • machine learning methods,
  • deep neural network computing,
  • computational auditory scene analysis, 
  • language and speaker identification,
  • affective computing
Subpages (1): Mupet