Bart de Boer uses computer models to investigate the evolution of speech. These computer models are based on a wide range of artificial intelligence techniques: agent-based modeling, machine learning, speech synthesis and speech recognition among others. The aim of his research is to get a better understanding of human cognition and its origins using a bottom-up approach, i.e. understanding by building.
He has worked at the University of Washington in Seattle, the University of Groningen and the University of Amsterdam and has been working at the Brussels AI lab since 2012. He has been awarded a NWO Vidi grant and an ERC grant in the past.
Follow this link for his Google scholar profile.
ERC Proof of Concept: AI-CU : Automated Improvement of Continuous User interfaces.
FWO project: The emergence of phonology within six generations
FWO project: Speech recognition based on human signal recognition and dynamic Bayesian networks
(FINISHED) FWO doctoral grant: Data mining continuous speech: Modeling infant speech acquisition by extracting building blocks and patterns in spoken language
(FINISHED 2017) Advancing behavioral and cognitive understanding of speech (ABACUS)
(FINISHED 2015) A Cognitive and Computational Investigation of Combinatorial Speech