| RWTH ASR systems for LibriSpeech: Hybrid vs Attention C Lüscher, E Beck, K Irie, M Kitza, W Michel, A Zeyer, R Schlüter, H Ney Interspeech, Graz, Austria, 2019 | 244* | 2019 |
| RWTH ASR Systems for LibriSpeech: Hybrid vs Attention-w/o Data Augmentation C Lüscher, E Beck, K Irie, M Kitza, W Michel, A Zeyer, R Schlüter, H Ney arXiv preprint arXiv:1905.03072, 2019 | 244 | 2019 |
| CTC in the Context of Generalized Full-Sum HMM Training A Zeyer, E Beck, R Schlüter, H Ney Proc. Interspeech 2017, 944-948, 2017 | 42 | 2017 |
| LSTM Language Models for LVCSR in First-Pass Decoding and Lattice-Rescoring E Beck, W Zhou, R Schlüter, H Ney arXiv preprint arXiv:1907.01030, 2019 | 29 | 2019 |
| LVCSR with Transformer Language Models E Beck, R Schlüter, H Ney Interspeech, 2020 | 20 | 2020 |
| Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition. E Beck, M Hannemann, P Doetsch, R Schlüter, H Ney Interspeech, 766-770, 2018 | 17 | 2018 |
| Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition JT Peter, E Beck, H Ney Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 16 | 2018 |
| Novel tight classification error bounds under mismatch conditions based on f-Divergence R Schlüter, M Nussbaum-Thom, E Beck, T Alkhouli, H Ney Information Theory Workshop (ITW), 2013 IEEE, 1-5, 2013 | 12 | 2013 |
| Novel Tight Classification Error Bounds under Mismatch Conditions based on f-Divergence R Schluter, M Nussbaum-Thom, E Beck, T Alkhouli, H Ney Proc. IEEE Inf. Theory Work.(ITW), 432-436, 2013 | 12 | 2013 |
| Relative error bounds for statistical classifiers based on the f-divergence. M Nussbaum-Thom, E Beck, T Alkhouli, R Schlüter, H Ney INTERSPEECH, 2197-2201, 2013 | 9 | 2013 |
| Sequence Modeling and Alignment for LVCSR-Systems E Beck, A Zeyer, P Doetsch, A Merboldt, R Schlüter, H Ney Proceedings of the 13. ITG Symposium on Speech Communication, Paderborn, Germany, 2018 | 8 | 2018 |
| The 2016 RWTH Keyword Search System for Low-Resource Languages P Golik, Z Tüske, K Irie, E Beck, R Schlüter, H Ney International Conference on Speech and Computer, 719-730, 2017 | 6 | 2017 |
| Context-Dependent Acoustic Modeling without Explicit Phone Clustering T Raissi, E Beck, R Schlüter, H Ney arXiv preprint arXiv:2005.07578, 2020 | 5 | 2020 |
| Domain Robust, Fast, and Compact Neural Language Models A Gerstenberger, K Irie, P Golik, E Beck, H Ney ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 5 | 2020 |
| Towards Consistent Hybrid HMM Acoustic Modeling T Raissi, E Beck, R Schlüter, H Ney arXiv preprint arXiv:2104.02387, 2021 | 4 | 2021 |
| Rescoring Keyword Search Confidence Estimates with Graph-Based Re-Ranking Using Acoustic Word Embeddings. A Piunova, E Beck, R Schlüter, H Ney INTERSPEECH, 4205-4209, 2019 | 3 | 2019 |
| Error Bounds for Context Reduction and Feature Omission E Beck, R Schlüter, H Ney Sixteenth Annual Conference of the International Speech Communication …, 2015 | 3 | 2015 |
| Upper and Lower Tight Error Bounds for Feature Omission with an Extension to Context Reduction R Schlüter, E Beck, H Ney IEEE transactions on pattern analysis and machine intelligence 41 (2), 502-514, 2018 | 2 | 2018 |
| Improving Factored Hybrid HMM Acoustic Modeling without State Tying T Raissi, E Beck, R Schlüter, H Ney ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 1 | 2022 |
| Unsupervised Language Model Adaptation for Speech Recognition with no Extra Resources Karel Beneš1, 2, Kazuki Irie2, 3, Eugen Beck2, 3, Ralf Schlüter2, Hermann Ney2, 3 K Beneš, K Irie, E Beck, R Schlüter, H Ney | | |
