MIN Faculty
Department of Informatics
Knowledge Technology

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This webpage is outdated and has moved. Please find the official Knowledge Technology page at:

https://www.inf.uni-hamburg.de/en/inst/ab/wtm/

Johannes Twiefel, M.Sc.

Research and Teaching Associate of Knowledge Technology Group

Contact Info

Address University of Hamburg
Department of Informatics
Vogt Koelln Str. 30
22527 Hamburg, Germany
Office: F-213
Phone: +49 40 428 83 2521
Fax: +49 40 428 83 2515
Email: twiefel at informatik.uni-hamburg.de
ResearchGate: https://www.researchgate.net/profile/Johannes_Twiefel


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Research Interests

My research is focused on speech recognition and language understanding, in which I develop brain-inspired models based on echo state networks to be able to explain functional principles in the human brain and exploit their benefits. Currently, I am working on a system combining speech recognition and semantics which produces hypotheses in a cooperative way. I am also supervising the DOCKS project, which is focused on post-processing hypotheses from Google's cloud-based speech recognition system. Interests:


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Demonstration


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Teaching

WS 2016/17


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Short Curriculum Vitae

Since October 2014 Research Associate of Knowledge Technology Research Group, Department of Computer Science, University of Hamburg, Germany

April 2014 Master degree in Computer Science, University of Hamburg, Germany


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Thesis

Development and Evaluation of Semantically Constrained Speech Recognition Architectures

Master Thesis, Supervisor: Prof. Dr. Stefan Wermter, Department of Computer Science, University of Hamburg, Germany, April 2014  


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Publications

Cruz, F., Parisi, G., Twiefel, J., and Wermter, S. Multi-modal Integration of Dynamic Audiovisual Patterns for an Interactive Reinforcement Learning Scenario. Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp.759-766, Daejeon, Korea, 2016.

Hinaut, X., Twiefel, J. Recurrent Neural Network Sentence Parser for Multiple Languages with Flexible Meaning Representations for Home Scenarios. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Workshop on Bio-inspired Social Robot Learning in Home Scenarios, Daejeon, Korea, 2016.

Hinaut, X., Twiefel, J., Wermter, S. Recurrent Neural Network for Syntax Learning with Flexible Predicates for Robotic Architectures. Proceedings of the Sixth Joint IEEE ICDL-EpiRob 2016, Paris, France, 2016.

Wieser, I., Toprak, S., Grenzing, A., Hinz, T., Auddy, S., Karaoğuz, E.C., Chandran, A., Remmels, M., El Shinawi, A., Josifovski, J., Vankadara, L.C., Ul Wahab, F., Bahnemiri, A.M., Sahu, D., Heinrich, S., Navarro-Guerrero, N., Strahl, S., Twiefel, J., Wermter, S. A Robotic Home Assistant with Memory Aid Functionality. Joint German/Austrian Conference on Artificial Intelligence (Künstliche Intelligenz), pp. 102-115, Klagenfurt, Austria, 2016.

Wieser, I., Toprak, S., Grenzing, A., Hinz, T., Auddy, S., Karaoğuz, E.C., Chandran, A., Remmels, M., El Shinawi, A., Josifovski, J., Vankadara, L.C., Ul Wahab, F., Bahnemiri, A.M., Sahu, D., Heinrich, S., Navarro-Guerrero, N., Strahl, S., Twiefel, J., Wermter, S. A Robotic Home Assistant with Memory Aid Functionality (video). Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication (RO- MAN), pp. 369, New York City, USA, 2016.

Twiefel, J., Hinaut, X., Borghetti, M., Strahl, E., Wermter, S. Using Natural Language Feedback in a Neuro-inspired Integrated Multimodal Robotic Architecture. Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), pp. 52-57, New York City, USA, 2016.

Twiefel, J., Hinaut, X., and Wermter, S. Semantic Role Labelling for Robot Instructions using Echo State Networks. Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), pp. 695-700, Bruges, Belgium, 2016.

Cruz, F., Twiefel, J., Wermter, S.. "Performing a Cleaning Task in a Simulated Human-Robot Interaction Environment". IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Workshop An Open-source Recipe for Teaching/Learning Robotics with a Simulator, Hamburg, Germany, 2015.

Hinaut, X., Twiefel, J., Petit, M., Dominey, P.F., Wermter, S. (2015) A Recurrent Neural Network for Multiple Language Acquisition: Starting with English and French. Workshop on "Cognitive Computation: Integrating Neural and Symbolic Approaches", CoCo @ NIPS 2015.

Cruz, F., Twiefel, J., Magg, S., Weber, C., Wermter, S. Interactive Reinforcement Learning through Speech Guidance in a Domestic Scenario. IEEE International Joint Conference on Neural Networks (IJCNN), pp. 1341-1348, Killarney, Ireland, 2015.

Hinaut, X., Twiefel, J., Borghetti Soares, M., Barros, P., Mici, L., Wermter S., 2015. Humanoidly Speaking – Learning about the world and language with a humanoid friendly robot. International Joint Conference on Artificial Neural Networks (IJCAI), Video Competition, 2015.

Davila-Chacon, J.,Twiefel, J., Liu, J., Wermter, S. Improving Humanoid Robot Speech Recognition with Sound Source Localisation. Proceedings of the 24th International Conference on Artificial Neural Networks (ICANN), 2014.

Twiefel, J., Baumann, T., Heinrich, S., Wermter, S. Improving Domain-independent Cloud-based Speech Recognition with Domain-dependent Phonetic Post-processing. In Brodley C.E. et al., editors, Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI-14), pp. 1529-1535, AAAI Press. Québec, CA, 2014.
 


Heinrich, S., Folleher, P., Springstübe, P., Strahl, E., Twiefel, J., Weber, C., Wermter, S. Object Learning with Natural Language in a Distributed Intelligent System - A Case Study of Human-Robot Interaction. In Sun, F., editor, Proceedings of the IEEE First International Conference on Cognitive Systems and Information Processing (CSIP 2012), AISC 215, pp. 811-819, Springer Berlin. Beijing, CN, December 2012.