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Eugen Beck
Eugen Beck
Verified email at i6.informatik.rwth-aachen.de
Title
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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
294*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
2942019
CTC in the Context of Generalized Full-Sum HMM Training
A Zeyer, E Beck, R Schlüter, H Ney
Proc. Interspeech 2017, 944-948, 2017
502017
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
342019
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
192018
Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition.
E Beck, M Hannemann, P Doetsch, R Schlüter, H Ney
Interspeech, 766-770, 2018
192018
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
152013
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
152013
LVCSR with Transformer Language Models
E Beck, R Schlüter, H Ney
Interspeech, 2020
122020
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
Context-Dependent Acoustic Modeling without Explicit Phone Clustering
T Raissi, E Beck, R Schlüter, H Ney
arXiv preprint arXiv:2005.07578, 2020
82020
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
82018
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
72017
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
52020
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
42022
Towards Consistent Hybrid HMM Acoustic Modeling
T Raissi, E Beck, R Schlüter, H Ney
arXiv preprint arXiv:2104.02387, 2021
42021
Error Bounds for Context Reduction and Feature Omission
E Beck, R Schlüter, H Ney
Sixteenth Annual Conference of the International Speech Communication …, 2015
42015
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
32018
RASR2: The RWTH ASR Toolkit for Generic Sequence-to-sequence Speech Recognition
W Zhou, E Beck, S Berger, R Schlüter, H Ney
arXiv preprint arXiv:2305.17782, 2023
22023
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
22019
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Articles 1–20