Research Engineer, Speech Technology and Research Laboratory
Andreas Tsiartas, Ph.D., has research interests that include speech cues analysis, cognitive state representation, speech-to-speech translation, acoustic and language modeling, and speech signals representation.
He holds a B.Sc. degree in electronics and computer engineering from the Technical University of Crete. He also holds an MSc. and a Ph.D. in signal processing from the Department of Electrical Engineering (EE), University of Southern California (USC). He has published more than 20 papers in the field of speech processing.
Tsiartas’ honors and awards include best teaching assistant awards in 2009 and 2010 from EE, USC. In 2006, he was awarded the Viterbi School Dean’s Doctoral Fellowship from USC.
Recent publications
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Speech‐based markers for post traumatic stress disorder in US veterans (4/17/2020) - This study demonstrates that a speech-based algorithm can objectively differentiate PTSD cases from controls.
Mapping Individual to Group Level Collaboration Indicators Using Speech Data (6/1/2019) - Automatic detection of collaboration quality from the students’ speech could support teachers in monitoring group dynamics, diagnosing issues, and developing…
Crowdsourcing Emotional Speech (4/1/2018) - We describe the methodology for the collection and annotation of a large corpus of emotional speech data through crowdsourcing. The…