| 2026 | LREC | Supplementary Resources and Analysis for Automatic Speech Recognition Systems Trained on the Loquacious Dataset. | Nick Rossenbach, Robin Schmitt, Tina Raissi, Simon Berger, Larissa Kleppel, Ralf Schlter |
| 2025 | ASRU | Analysis of Domain Shift across ASR Architectures via TTS-Enabled Separation of Target Domain and Acoustic Conditions. | Tina Raissi, Nick Rossenbach, Ralf Schlter |
| 2025 | ICASSP | Right Label Context in End-to-End Training of Time-Synchronous ASR Models. | Tina Raissi, Ralf Schlter, Hermann Ney |
| 2024 | Interspeech | Investigating the Effect of Label Topology and Training Criterion on ASR Performance and Alignment Quality. | Tina Raissi, Christoph Lscher, Simon Berger, Ralf Schlter, Hermann Ney |
| 2023 | ASRU | End-To-End Training of a Neural HMM with Label and Transition Probabilities. | Daniel Mann, Tina Raissi, Wilfried Michel, Ralf Schlter, Hermann Ney |
| 2023 | Interspeech | Competitive and Resource Efficient Factored Hybrid HMM Systems are Simpler Than You Think. | Tina Raissi, Christoph Lscher, Moritz Gunz, Ralf Schlter, Hermann Ney |
| 2022 | ICASSP | Improving Factored Hybrid HMM Acoustic Modeling without State Tying. | Tina Raissi, Eugen Beck, Ralf Schlter, Hermann Ney |
| 2021 | ICASSP | Improved Robustness to Disfluencies in Rnn-Transducer Based Speech Recognition. | Valentin Mendelev, Tina Raissi, Guglielmo Camporese, Manuel Giollo |
| 2020 | Interspeech | Context-Dependent Acoustic Modeling Without Explicit Phone Clustering. | Tina Raissi, Eugen Beck, Ralf Schlter, Hermann Ney |
| 2018 | ICASSP | Extended Pipeline for Content-Based Feature Engineering in Music Genre Recognition. | Tina Raissi, Alessandro Tibo, Paolo Bientinesi |