Publications

Articles

Michael Heck, in conversation with Christopher Trinks

„Wir müssen die Gefahren von KI sehen“

Rheinische Post, vol. 78, no. 133 D/D-S, June 2023

(link) (archived)


Nurul Lubis, Michael Heck, Carel van Niekerk, Milica Gasic
Adaptable Conversational Machines
AI Magazine, 41(3), 28-44, September 2020

(link)

Journals

Michael Heck, Nurul Lubis, Carel van Niekerk, Shutong Feng, Christian Geishauser, Hsien-Chin Lin, Milica Gasic

Robust Dialogue State Tracking with Weak Supervision and Sparse Data

Transactions of the Association for Computational Linguistics, vol. 10, November 2022

(link) (pre-print) (code)


Michael Heck, Sakriani Sakti, Satoshi Nakamura

Dirichlet Process Mixture of Mixtures Model for Unsupervised Subword Modeling

IEEE/ACM Transactions on Audio, Speech and Language Processing, vol. 26, no. 11, July 2018

(link) (pre-print PDF)


Michael Heck, Sakriani Sakti, Satoshi Nakamura

Learning Supervised Feature Transformations on Zero Resources for Improved Acoustic Unit Discovery

In IEICE Transactions on Information and Systems, vol. E101-D, no. 1, January 2018

(link)

International Conferences (peer-reviewed)

Qi Zhu, Christian Geishauser, Hsien-chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Shutong Feng, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gasic, Minlie Huang

ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP): System Demonstrations, Singapore, December 2023

(link) (pre-print) (code)


Shutong Feng, Nurul Lubis, Benjamin Ruppik, Christian Geishauser, Michael Heck, Hsien-chin Lin, Carel van Niekerk, Renato Vukovic, Milica Gasic

From Chatter to Matter: Addressing Critical Steps of Emotion Recognition Learning in Task-oriented Dialogue

Proceedings of the 24th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDial), Prague, Czechia, September 2023

(link) (pre-print)


Michael Heck, Nurul Lubis, Benjamin Ruppik, Renato Vukovic, Shutong Feng, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Milica Gasic

ChatGPT for Zero-shot Dialogue State Tracking: A Solution or an Opportunity?

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL), Toronto, Canada, July 2023

(link) (pre-print) (teaser) (code)


Hsien-Chin Lin, Shutong Feng, Christian Geishauser, Nurul Lubis, Carel van Niekerk, Michael Heck, Benjamin Ruppik, Renato Vukovic, Milica Gasic

EmoUS: Simulating User Emotions in Task-Oriented Dialogues

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information, Taipei, Taiwan, July 2023

(link) (pre-print)


Christian Geishauser, Carel van Niekerk, Hsien-Chin Lin, Nurul Lubis, Michael Heck, Shutong Feng, Milica Gasic

Dynamic Dialogue Policy for Continual Reinforcement Learning

Proceedings of the 29th International Conference on Computational Linguistics (COLING), Gyeongju, Republic of Korea, October 2022

(link) (pre-print)


Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Michael Heck, Shutong Feng, Milica Gasic

Dialogue Evaluation with Offline Reinforcement Learning

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDial), Edinburgh, UK, September 2022

(link) (pre-print)


Renato Vukovic, Michael Heck, Benjamin Matthias Ruppik, Carel van Niekerk, Marcus Zibrowius, Milica Gasic

Dialogue Term Extraction using Transfer Learning and Topological Data Analysis

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDial), Edinburgh, UK, September 2022

(link) (pre-print)


Hsien-Chin Lin, Christian Geishauser, Shutong Feng, Nurul Lubis, Carel van Niekerk, Michael Heck, Milica Gasic

GenTUS: Simulating User Behaviour and Language in Task-oriented Dialogues with Generative Transformers

Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDial), Edinburgh, UK, September 2022

(link) (pre-print)


Shutong Feng, Nurul Lubis, Christian Geishauser, Hsien-chin Lin, Michael Heck, Carel van Niekerk, Milica Gasic

EmoWOZ: A Large-Scale Corpus and Labelling Scheme for Emotion Recognition in Task-Oriented Dialogue Systems

Proceedings of the 13th Language Resources and Evaluation Conference (LREC), Marseille, France, June 2022

(link) (pre-print)


Christian Geishauser, Songbo Hu, Hsien-chin Lin, Nurul Lubis, Michael Heck, Shutong Feng, Carel van Niekerk, Milica Gasic

What Does The User Want? Information Gain for Hierarchical Dialogue Policy Optimisation

Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), Cartagena, Colombia, December 2021

(link, sign-in required) (pre-print)


Carel van Niekerk, Andrey Malinin, Christian Geishauser, Michael Heck, Hsien-chin Lin, Nurul Lubis, Shutong Feng, Milica Gasic

Uncertainty Measures in Neural Belief Tracking and the Effects on Dialogue Policy Performance

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), Online/Punta Cana, Dominican Republic, November 2021

(link) (pre-print)


Hsien-chin Lin, Nurul Lubis, Songbo Hu, Carel van Niekerk, Christian Geishauser, Michael Heck, Shutong Feng, Milica Gasic

Domain-independent User Simulation with Transformers for Task-oriented Dialogue Systems

Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDial), Online/Singapore, July 2021

(link) (pre-print)


Michael Heck, Christian Geishauser, Hsien-Chin Lin, Nurul Lubis, Marco Moresi, Carel van Niekerk, Milica Gasic

Out-of-Task Training for Dialog State Tracking Models

Proceedings of the 28th International Conference on Computational Linguistics (COLING), Online, December 2020

(link) (pre-print) (talk) (code)


Nurul Lubis, Christian Geishauser, Michael Heck, Hsien-chin Lin, Marco Moresi, Carel van Niekerk and Milica Gasic

LAVA: Latent Action Spaces via Variational Auto-encoding for Dialogue Policy Optimization

Proceedings of the 28th International Conference on Computational Linguistics (COLING), Online, December 2020

(link) (pre-print)


Carel van Niekerk, Michael Heck, Christian Geishauser, Hsien-chin Lin, Nurul Lubis, Marco Moresi, Milica Gasic

Knowing What You Know: Calibrating Dialogue Belief State Distributions via Ensembles

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (ENMLP): Findings, Online, November 2020

(link) (pre-print)


Michael Heck, Carel van Niekerk, Nurul Lubis, Christian Geishauser, Hsien-Chin Lin, Marco Moresi, Milica Gasic

TripPy: A Triple Copy Strategy for Value Independent Neural Dialog State Tracking

Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDial), 1st Virtual Meeting, July 2020

(link) (pre-print) (talk) (code)


Michael Heck, Sakriani Sakti, Satoshi Nakamura

Feature Optimized DPGMM Clustering for Unsupervised Subword Modeling: A Contribution to ZeroSpeech 2017

Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), Naha, Japan, December 2017

(link, sign-in required)


Nurul Lubis, Michael Heck, Sakriani Sakti, Koichiro Yoshino, Satoshi Nakamura

Processing Negative Emotions Through Social Communication: Multimodal Database Construction and Analysis

Proceedings of the International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, USA, October 2017

(link)


Michael Heck, Masayuki Suzuki, Takashi Fukuda, Gakuto Kurata, Satoshi Nakamura

Ensembles of Multi-scale VGG Acoustic Models

Proceedings of Interspeech, Stockholm, Sweden, August 2017

(link)


Michael Heck, Sakriani Sakti, Satoshi Nakamura

Iterative Training of a DPGMM-HMM Acoustic Unit Recognizer in a Zero Resource Scenario

Proceedings of the IEEE Workshop on Spoken Language Technology (SLT), San Diego, USA, December 2016

(link, sign-in required)


Michael Heck, Sakriani Sakti, Satoshi Nakamura

Supervised Learning of Acoustic Models in a Zero Resource Setting to Improve DPGMM Clustering

Proceedings of Interspeech, San Francisco, USA, September 2016

(link)


Michael Heck, Sakriani Sakti, Satoshi Nakamura

Unsupervised Linear Discriminant Analysis for Supporting DPGMM Clustering in the Zero Resource Scenario

Proceedings of the Workshop on Spoken Language Technology for Under-resourced Languages (SLTU), Yogyakarta, Indonesia, May 2016

(link)


Quoc Truong Do, Michael Heck, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura

The NAIST ASR System for the 2015 Multi-genre Broadcast Challenge: On Combination of Deep Learning Systems Using a Rank-score Function

Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), Scottsdale, USA, December 2015

(link)


Michael Heck, Quoc Truong Do, Sakriani Sakti, Graham Neubig, Satoshi Nakamura

The NAIST English Speech Recognition System for IWSLT 2015

Proceedings of the International Workshop on Spoken Language Translation (IWSLT), Da Nang, Vietnam, December 2015

(link)


Kevin Kilgour, Michael Heck, Markus Müller, Matthias Sperber, Sebastian Stüker, Alex Waibel

The 2014 KIT IWSLT Speech-to-Text Systems for English, German and Italian

Proceedings of the International Workshop on Spoken Language Translation (IWSLT), Lake Tahoe, USA, December 2014

(link)


Michael Heck, Sebastian Stüker, Sakriani Sakti, Alex Waibel, Satoshi Nakamura

Incremental Unsupervised Training for University Lecture Recognition

Proceedings of the International Workshop on Spoken Language Translation (IWSLT), Heidelberg, Germany, December 2013

(link)


Kevin Kilgour, Christian Mohr, Michael Heck, Quoc Bao Nguyen, Van Huy Nguyen, Evgeniy Shin, Igor Tseyer, Jonas Gehring, Markus Müller, Matthias Sperber, Sebastian Stüker, Alex Waibel

The 2013 KIT IWSLT Speech-to-Text Systems for German and English

Proceedings of the International Workshop on Spoken Language Translation (IWSLT), Heidelberg, Germany, December 2013

(link)


Michael Heck, Christian Mohr, Sebastian Stüker, Markus Müller, Kevin Kilgour, Jonas Gehring, Quoc Bao Nguyen, Van Huy Nguyen, Alex Waibel

Segmentation of Telephone Speech Based on Speech and Non-Speech Models

Proceedings of the International Conference on Speech and Computer (SPECOM), Plzen, Czech Republic, September 2013

(link)


Michael Heck, Sebastian Stüker, Alex Waibel

A Hybrid Phonotactic Language Identification System with an SVM Back-end for Simultaneous Lecture Translation

Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, Japan, March 2012

(link)


Michael Heck, Keigo Kubo, Matthias Sperber, Sakriani Sakti, Sebastian Stüker, Christian Saam, Kevin Kilgour, Christian Mohr, Graham Neubig, Tomoki Toda, Satoshi Nakamura, Alex Waibel

The KIT-NAIST (Contrastive) English ASR System for IWSLT 2012

Proceedings of the International Workshop on Spoken Language Translation (IWSLT), Hong Kong, December 2012

(link)


Christian Saam, Christian Mohr, Kevin Kilgour, Michael Heck, Matthias Sperber, Keigo Kubo, Sebastian Stüker, Sakriani Sakti, Graham Neubig, Tomoki Toda, Satoshi Nakamura, Alex Waibel

The 2012 KIT and KIT-NAIST English ASR Systems for the IWSLT Evaluation

Proceedings of the International Workshop on Spoken Language Translation (IWSLT), Hong Kong, December 2012

(link)


Jan Niehues, Mohammed Mediani, Teresa Herrmann, Michael Heck, Christian Herff, Alex Waibel

The KIT Translation system for IWSLT 2010

Proceedings of the International Workshop on Spoken Language Translation (IWSLT), Paris, France, December 2010

(link)


Sebastian Stüker, Michael Heck, Katja Renner, Alex Waibel

Spoken News Queries over the World Wide Web

Proceedings of the International Workshop on Searching Spontaneous Conversational Speech (SSCS), Firenze, Italy, October 2010

(link)

Non-peer-reviewed

Carel van Niekerk, Christian Geishauser, Michael Heck, Shutong Feng, Hsien-chin Lin, Nurul Lubis, Benjamin Ruppik, Renato Vukovic, Milica Gasic

CAMELL: Confidence-based Acquisition Model for Efficient Self-supervised Active Learning with Label Validation

Computing Research Repository (CoRR), October 2023

(pre-print)

Theses

Michael Heck

Unsupervised Representation Learning and Acoustic Modeling in the Zero Resource Scenario

Doctoral Thesis, Nara Institute of Science and Technology, September 2018

(link)


Michael Heck

Unsupervised Acoustic Model Training for Simultaneous Lecture Translation in Incremental and Batch Mode

Diploma Thesis, Karlsruhe Institute of Technology, Nara Institute of Science and Technology, December 2012

(link)


Michael Heck

Automatic Language Identification for Natural Language Processing Systems

Student Research Project Thesis („Studienarbeit“), Karlsruhe Institute of Technology, August 2011
(link