Dipl.-Ing. Christopher Schymura

Ruhr-Universität Bochum
Kognitive Signalverarbeitung
Fakultät für Elektrotechnik und Informationstechnik
Universitätsstr. 150
D-44780 Bochum
Raum: ID/2/328

Email: Christopher.Schymura@rub.de
Tel.: +49 234 32 22869


Schymura, C., Guo, P., Maymon, B., Rafaely, B., Kolossa, D., (2018). “Exploiting Structures of Temporal Causality for Robust Speaker Localization in Reverberant Environments”, in Latent Variable Analysis and Signal Separation: 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2–5, 2018, Proceedings, 228–37. 1st edition 2018. Lecture Notes in Computer Science. Cham: Springer International Publishing.

Schymura, C., Isenberg, T., Kolossa, D., (2018). “Extending Linear Dynamical Systems with Dynamic Stream Weights for Audiovisual Speaker Localization”, in 2018 16th International Workshop on Acoustic Signal Enhancement (IWAENC): 17-20 Sept. 2018, 515–19. Piscataway, NJ: IEEE.

Schymura, C. Kolossa, D., (2018). “Potential-Field-Based Active Exploration for Acoustic Simultaneous Localization and Mapping”, in 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings: April 15-20, 2018, Calgary Telus Convention Center, Calgary, Alberta, Canada, 76–80. Piscataway, NJ: IEEE.

Schymura, C., Rios Grajales, J., Kolossa, C. (2017). "Monte Carlo exploration for active binaural localization", Proc. ICASSP, New Orleans, March 2017.

Schymura, C., Winter, F., Kolossa, D., Spors, S. (2015). “Binaural Sound Source Localisation and Tracking using a dynamic Spherical Head Model", in Proc. Interspeech, Dresden, Germany, September 2015.

Schymura, C., Ma, N., Brown, G. J., Walther, T., Kolossa, D. (2014). "Binaural Sound Source Localisation using a Bayesian-network-based Blackboard System and Hypothesis-driven Feedback", in: Proc. FORUM ACUSTICUM 2014, PL-Krakow.

Foto Schymura