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Dr. Johannes Twiefel
Dr. Johannes Twiefel
Research Associate at Knowledge Technology Group, Dept. Computer Science, University of Hamburg
Verified email at informatik.uni-hamburg.de - Homepage
Title
Cited by
Cited by
Year
Interactive reinforcement learning through speech guidance in a domestic scenario
F Cruz, J Twiefel, S Magg, C Weber, S Wermter
2015 international joint conference on neural networks (IJCNN), 1-8, 2015
762015
Improving domain-independent cloud-based speech recognition with domain-dependent phonetic post-processing
J Twiefel, T Baumann, S Heinrich, S Wermter
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
662014
The impact of personalisation on human-robot interaction in learning scenarios
N Churamani, P Anton, M Brügger, E Fließwasser, T Hummel, J Mayer, ...
Proceedings of the 5th international conference on human agent interaction …, 2017
622017
Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario
F Cruz, GI Parisi, J Twiefel, S Wermter
2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016
462016
A recurrent neural network for multiple language acquisition: Starting with english and french
X Hinaut, J Twiefel, M Petit, P Dominey, S Wermter
Proceedings of the NIPS Workshop on Cognitive Computation: Integrating …, 2015
282015
Using natural language feedback in a neuro-inspired integrated multimodal robotic architecture
J Twiefel, X Hinaut, M Borghetti, E Strahl, S Wermter
2016 25th IEEE International Symposium on Robot and Human Interactive …, 2016
252016
Teach your robot your language! trainable neural parser for modeling human sentence processing: Examples for 15 languages
X Hinaut, J Twiefel
IEEE Transactions on Cognitive and Developmental Systems 12 (2), 179-188, 2019
202019
A robotic home assistant with memory aid functionality
I Wieser, S Toprak, A Grenzing, T Hinz, S Auddy, EC Karaoğuz, ...
KI 2016: Advances in Artificial Intelligence: 39th Annual German Conference …, 2016
182016
Hey robot, why don't you talk to me?
HG Ng, P Anton, M Brügger, N Churamani, E Fließwasser, T Hummel, ...
2017 26th IEEE International Symposium on Robot and Human Interactive …, 2017
172017
Combining articulatory features with end-to-end learning in speech recognition
L Qu, C Weber, E Lakomkin, J Twiefel, S Wermter
Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018
92018
Semantic role labelling for robot instructions using echo state networks
J Twiefel, X Hinaut, S Wermter
European Symposium on Artificial Neural Networks, Computational Intelligence …, 2016
92016
Semi-supervised phoneme recognition with recurrent ladder networks
M Tietz, T Alpay, J Twiefel, S Wermter
Artificial Neural Networks and Machine Learning–ICANN 2017: 26th …, 2017
82017
Humanoidly speaking–learning about the world and language with a humanoid friendly robot
X Hinaut, J Twiefel, MB Soares, P Barros, L Mici, S Wermter
International Joint Conference on Artificial Intelligence Video competition, 2015
72015
Object learning with natural language in a distributed intelligent system: A case study of human-robot interaction
S Heinrich, P Folleher, P Springstübe, E Strahl, J Twiefel, C Weber, ...
Foundations and Practical Applications of Cognitive Systems and Information …, 2014
72014
Multi-modal integration of dynamic audiovisual patterns for an interactive reinforcement learning scenario. In 2016 IEEE
F Cruz, GI Parisi, J Twiefel, S Wermter
RSJ International Conference on Intelligent Robots and Systems (IROS), 759-766, 0
5
Syntactic reanalysis in language models for speech recognition
J Twiefel, X Hinaut, S Wermter
2017 Joint IEEE International Conference on Development and Learning and …, 2017
42017
Recurrent neural network for syntax learning with flexible predicates for robotic architectures
X Hinaut, J Twiefel, S Wermter
2016 Joint IEEE International Conference on Development and Learning and …, 2016
32016
Controlling the noise robustness of end-to-end automatic speech recognition systems
M Möller, J Twiefel, C Weber, S Wermter
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
22021
Improving Humanoid Robot Speech Recognition with Sound Source Localisation
J Davila-Chacon, J Twiefel, J Liu, S Wermter
Artificial Neural Networks and Machine Learning–ICANN 2014: 24th …, 2014
22014
Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition
P Eickhoff, M Möller, TP Rosin, J Twiefel, S Wermter
International Conference on Artificial Neural Networks, 376-388, 2023
12023
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