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Eugen Beck
Eugen Beck
Verified email at i6.informatik.rwth-aachen.de
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Cited by
Year
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
219*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
2192019
CTC in the Context of Generalized Full-Sum HMM Training
A Zeyer, E Beck, R Schlüter, H Ney
Proc. Interspeech 2017, 944-948, 2017
342017
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
262019
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
162018
LVCSR with Transformer Language Models
E Beck, R Schlüter, H Ney
Interspeech, 2020
152020
Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition.
E Beck, M Hannemann, P Doetsch, R Schlüter, H Ney
Interspeech, 766-770, 2018
132018
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
112013
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
112013
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
92013
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
62018
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
62017
Context-Dependent Acoustic Modeling without Explicit Phone Clustering
T Raissi, E Beck, R Schlüter, H Ney
arXiv preprint arXiv:2005.07578, 2020
42020
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
42020
Error Bounds for Context Reduction and Feature Omission
E Beck, R Schlüter, H Ney
Sixteenth Annual Conference of the International Speech Communication …, 2015
32015
Towards Consistent Hybrid HMM Acoustic Modeling
T Raissi, E Beck, R Schlüter, H Ney
arXiv preprint arXiv:2104.02387, 2021
22021
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
22018
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
12019
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
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
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Articles 1–20