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Martin Lebourdais

LST ( Le Mans )



Research Activities:

Thesis: Extraction of end-to-end semantic information from audio signal

Project(s): GEM



As a PhD student in Computer Science at LIUM, I completed all my higher education at the University of Le Mans. During these studies, I developed a taste for mixing computer science and signal processing, which led me, after a Master II in Natural Language Processing , to a thesis merging the two universes. My thesis is included in the GEM project, Gender Evolution Monitoring. More precisely, it deals with the detection of overlapping speech, which shows a willingness to interrupt someone.