- B.S. Computer Engineering. Sapienza, University of Rome.
Final Project: XSLT: from XML to HTML and PDF
- M.Sc. Computer Engineering. Artificial Intelligent Systems. Sapienza, University of Rome.
Thesis: Speech Recognition and Tagging Spoken Language
- Ph.D. in Computing Science and Engineering
Thesis: Top-Down Attention Modelling in a Cocktail Party Scenario
- November 2008 – December 2009 : Department of Computer and System Sciences. Sapienza, University of Rome. ALCOR: Vision, Perception and Cognitive Robotics Laboratory
- January 2010 – March 2012 : IMM – Department of Informatics and Mathematical Modelling. DTU, Technical University of Denmark. Cognitive Systems Group.
- She is currently a postdoctoral research fellow at Laslab on the INSPIRE (Investigating Speech Processing in Realistic Environments) project.
My research is focused in machine learning and auditory perception and attention, with particular interest in speech processing and multimodal human-robot interaction.
- Letizia Marchegiani, S. G. Karadogan, T. Andersen, J. Larsen, L.K. Hansen. (2011) The Role of Top-Down Attention in the Cocktail Party: Revisiting Cherry’s Experiment after Sixty Years.. ICMLA, International Conference on Machine Learning and Applications. Honolulu, Hawaii. Abstract
- S.G. Karadogan, Letizia Marchegiani, J. Larsen, L.K. Hansen. (2011) Top-down attention with features missing at random.. IEEE International Workshop on Machine Learning For Signal Processing. Beijing, China. Abstract
- S.G. Karadogan, Letizia Marchegiani, L.K. Hansen, J. Larsen. (2011) How efficient is estimation with missing data?. ICASSP, International Conference on Acoustics, Speech and Signal Processing Prague, Czech Republic. Abstract
- L.K. Hansen, S.G. Karadogan, Letizia Marchegiani. (2011) What to measure next to improve decision making? On top-down task driven feature saliency.. SSCI, IEEE Symposium on Computational Intelligence. CCMB Cognitive Algorithms, Mind, and Brain. Paris, France. Abstract
- Letizia Marchegiani, F. Pirri, M. Pizzoli. (2009) Multimodal speaker recognition in a conversation scenario.. International Conference on Computer Vision Systems Liege, Belgium. Abstract