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Michael Heck
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TripPy: A triple copy strategy for value independent neural dialog state tracking
M Heck, C van Niekerk, N Lubis, C Geishauser, HC Lin, M Moresi, ...
Proceedings of the 21th Annual Meeting of the Special Interest Group on …, 2020
2272020
Feature optimized DPGMM clustering for unsupervised subword modeling: A contribution to zerospeech 2017
M Heck, S Sakti, S Nakamura
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017
602017
ChatGPT for zero-shot dialogue state tracking: A solution or an opportunity?
M Heck, N Lubis, B Ruppik, R Vukovic, S Feng, C Geishauser, HC Lin, ...
arXiv preprint arXiv:2306.01386, 2023
432023
Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems
H Lin, N Lubis, S Hu, C van Niekerk, C Geishauser, M Heck, S Feng, ...
Proceedings of the 22nd Annual Meeting of the Special Interest Group on …, 2021
432021
Unsupervised linear discriminant analysis for supporting DPGMM clustering in the zero resource scenario
M Heck, S Sakti, S Nakamura
Procedia Computer Science 81, 73-79, 2016
432016
LAVA: Latent action spaces via variational auto-encoding for dialogue policy optimization
N Lubis, C Geishauser, M Heck, H Lin, M Moresi, C van Niekerk, M Gašić
Proceedings of the 28th International Conference on Computational …, 2020
382020
Emowoz: A large-scale corpus and labelling scheme for emotion recognition in task-oriented dialogue systems
S Feng, N Lubis, C Geishauser, H Lin, M Heck, C van Niekerk, M Gašić
arXiv preprint arXiv:2109.04919, 2021
352021
Convlab-3: A flexible dialogue system toolkit based on a unified data format
Q Zhu, C Geishauser, H Lin, C van Niekerk, B Peng, Z Zhang, M Heck, ...
arXiv preprint arXiv:2211.17148, 2022
212022
GenTUS: Simulating user behaviour and language in task-oriented dialogues with generative transformers
H Lin, C Geishauser, S Feng, N Lubis, C van Niekerk, M Heck, M Gašić
arXiv preprint arXiv:2208.10817, 2022
212022
Supervised Learning of Acoustic Models in a Zero Resource Setting to Improve DPGMM Clustering.
M Heck, S Sakti, S Nakamura
INTERSPEECH, 1310-1314, 2016
192016
Robust dialogue state tracking with weak supervision and sparse data
M Heck, N Lubis, C Niekerk, S Feng, C Geishauser, HC Lin, M Gašić
Transactions of the Association for Computational Linguistics 10, 1175-1192, 2022
182022
Dynamic dialogue policy for continual reinforcement learning
C Geishauser, C van Niekerk, N Lubis, M Heck, HC Lin, S Feng, M Gašić
arXiv preprint arXiv:2204.05928, 2022
172022
Iterative training of a DPGMM-HMM acoustic unit recognizer in a zero resource scenario
M Heck, S Sakti, S Nakamura
2016 IEEE Spoken Language Technology Workshop (SLT), 57-63, 2016
142016
The 2014 KIT IWSLT speech-to-text systems for English, German and Italian
K Kilgour, M Heck, M Müller, M Sperber, S Stüker, A Waibel
Proceedings of the 11th International Workshop on Spoken Language …, 2014
132014
Uncertainty measures in neural belief tracking and the effects on dialogue policy performance
C van Niekerk, A Malinin, C Geishauser, M Heck, H Lin, N Lubis, S Feng, ...
arXiv preprint arXiv:2109.04349, 2021
122021
Emous: Simulating user emotions in task-oriented dialogues
HC Lin, S Feng, C Geishauser, N Lubis, C van Niekerk, M Heck, B Ruppik, ...
Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023
112023
Learning supervised feature transformations on zero resources for improved acoustic unit discovery
M Heck, S Sakti, S Nakamura
IEICE TRANSACTIONS on Information and Systems 101 (1), 205-214, 2018
112018
Segmentation of telephone speech based on speech and non-speech models
M Heck, C Mohr, S Stüker, M Müller, K Kilgour, J Gehring, QB Nguyen, ...
Speech and Computer: 15th International Conference, SPECOM 2013, Pilsen …, 2013
112013
The 2013 KIT IWSLT Speech-to-Text Systems for German and English
K Kilgour, C Mohr, M Heck, QB Nguyen, E Shin, I Tseyzer, J Gehring, ...
Proceedings of the 10th International Workshop on Spoken Language …, 2013
92013
Dialogue term extraction using transfer learning and topological data analysis
R Vukovic, M Heck, BM Ruppik, C van Niekerk, M Zibrowius, M Gašić
arXiv preprint arXiv:2208.10448, 2022
82022
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