| 2024 | ACII | A Multimodal, Multilabel Approach to Recognize Emotions in Oral History Interviews. | Anargh Viswanath, Michael Gref, Teena Hassan, Christoph Schmidt |
| 2023 | ECAI | Performance of Large Language Models in a Computer Science Degree Program. | Tim Krger, Michael Gref |
| 2022 | LREC | A Study on the Ambiguity in Human Annotation of German Oral History Interviews for Perceived Emotion Recognition and Sentiment Analysis. | Michael Gref, Nike Matthiesen, Sreenivasa Hikkal Venugopala, Shalaka Satheesh, Aswinkumar Vijayananth, Duc Bach Ha, Sven Behnke, Joachim Khler |
| 2022 | LREC | Multitask Learning for Grapheme-to-Phoneme Conversion of Anglicisms in German Speech Recognition. | Julia Pritzen, Michael Gref, Dietlind Zhlke, Christoph Andreas Schmidt |
| 2020 | LREC | Using Automatic Speech Recognition in Spoken Corpus Curation. | Jan Gorisch, Michael Gref, Thomas Schmidt |
| 2020 | LREC | Multi-Staged Cross-Lingual Acoustic Model Adaption for Robust Speech Recognition in Real-World Applications - A Case Study on German Oral History Interviews. | Michael Gref, Oliver Walter, Christoph Schmidt, Sven Behnke, Joachim Khler |
| 2018 | LREC | Improved Transcription and Indexing of Oral History Interviews for Digital Humanities Research. | Michael Gref, Joachim Khler, Almut Leh |
| 2017 | Interspeech | On the Influence of Modifying Magnitude and Phase Spectrum to Enhance Noisy Speech Signals. | Hans-Gnter Hirsch, Michael Gref |