Andreas Liesenfeld
Orcid: 0000-0001-6076-4406
According to our database1,
Andreas Liesenfeld
authored at least 15 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024
2023
Cogn. Sci., January, 2023
The timing bottleneck: Why timing and overlap are mission-critical for conversational user interfaces, speech recognition and dialogue systems.
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, 2023
Opening up ChatGPT: Tracking openness, transparency, and accountability in instruction-tuned text generators.
Proceedings of the 5th International Conference on Conversational User Interfaces, 2023
2022
Building and curating conversational corpora for diversity-aware language science and technology.
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
Evaluation of Automatic Speech Recognition for Conversational Speech in Dutch, English and German: What Goes Missing?
Proceedings of the 18th Conference on Natural Language Processing (KONVENS 2022), 2022
Bottom-up discovery of structure and variation in response tokens ('backchannels') across diverse languages.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022
Effects of Filled Pauses on Memory Recall in Human-Robot Interaction in Mandarin Chinese.
Proceedings of the Engineering Psychology and Cognitive Ergonomics, 2022
From text to talk: Harnessing conversational corpora for humane and diversity-aware language technology.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021
Proceedings of the 35th Pacific Asia Conference on Language, Information and Computation, 2021
Deep Learning Meets Private Talk: Conversational AI Can Predict Speaker Traits by Eavesdropping for Only 30 Seconds.
Proceedings of the MuC '21: Mensch und Computer 2021, 2021
2020
Predicting gender and age categories in English conversations using lexical, non-lexical, and turn-taking features.
Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, 2020
NameSpec asks: What's Your Name in Chinese? A Voice Bot to Specify Chinese Personal Names through Dialog.
Proceedings of the 2nd Conference on Conversational User Interfaces, 2020
2018
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018