Stephen Tobin conducts research into speech, language and educational technology. At the Institute of Computer Science he has been building on and broadening his prior research and academic training in linguistics and cognitive science. He joined the Complex Multimedia Application Architectures group in 2022 and contributes to the X-Teach VR (crossdisciplinary teaching in the VR Classroom) and DigiProMIN projects.

• Phonetic convergence and production-perception relations
• Technologies for language learning and teaching
• Technologies for linguistic-phonetic data collection
• Modelling and simulation of speech and communication processes

• BA (Hons) Modern & Medieval Languages; Girton College, University of Cambridge (2003)
• MA Linguistics (Phonetics); University of Southern California (2005)
• PhD Psychology (Language & Cognition); University of Connecticut (2015)

• DigiProMIN (Kompetenzverbund lernen:digital; Administration: Scheiter/Lucke), 2023-current
• X-Teach VR (Stiftung Innovation in der Hochschullehre; PI: Lucke), 2022-2023
• The time course of speech perception and production in individual language users (NSF; co-PIs: Beddor, Coetzee), 2018-2019
• Syllables and the timing of speech (ERC; PI: Gafos), 2014-2015
• Extending the theory of articulatory phonology in speech and reading (NIH/NICHD; PI: Fowler), 2009-2010
• Compensation for coarticulation: Implications for speech perception (NSF; co-PIs: Magnuson, Fowler, Viswanathan), 2007-2008
• Dynamics of vocal tract shaping (NIH/NIDCD; co-PIs: Byrd, Narayanan), 2005-2006