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Eugen Beck
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2020 – today
- 2024
- [i7]Jingjing Xu, Wei Zhou, Zijian Yang, Eugen Beck, Ralf Schlüter:
Dynamic Encoder Size Based on Data-Driven Layer-wise Pruning for Speech Recognition. CoRR abs/2407.18930 (2024) - 2023
- [c16]Wei Zhou
, Eugen Beck, Simon Berger, Ralf Schlüter, Hermann Ney:
RASR2: The RWTH ASR Toolkit for Generic Sequence-to-sequence Speech Recognition. INTERSPEECH 2023: 4094-4098 - [i6]Wei Zhou, Eugen Beck, Simon Berger, Ralf Schlüter, Hermann Ney:
RASR2: The RWTH ASR Toolkit for Generic Sequence-to-sequence Speech Recognition. CoRR abs/2305.17782 (2023) - 2022
- [c15]Mattia Di Gangi, Nick Rossenbach, Alejandro Pérez, Parnia Bahar, Eugen Beck, Patrick Wilken, Evgeny Matusov:
Automatic Video Dubbing at AppTek. EAMT 2022: 349-350 - [c14]Tina Raissi, Eugen Beck, Ralf Schlüter
Improving Factored Hybrid HMM Acoustic Modeling without State Tying. ICASSP 2022: 7442-7446 - [i5]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Improving Factored Hybrid HMM Acoustic Modeling without State Tying. CoRR abs/2201.09692 (2022) - 2021
- [i4]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Towards Consistent Hybrid HMM Acoustic Modeling. CoRR abs/2104.02387 (2021) - 2020
- [c13]Alexander Gerstenberger, Kazuki Irie, Pavel Golik
Domain Robust, Fast, and Compact Neural Language Models. ICASSP 2020: 7954-7958 - [c12]Eugen Beck, Ralf Schlüter
LVCSR with Transformer Language Models. INTERSPEECH 2020: 1798-1802 - [c11]Tina Raissi, Eugen Beck, Ralf Schlüter
Context-Dependent Acoustic Modeling Without Explicit Phone Clustering. INTERSPEECH 2020: 4377-4381 - [i3]Tina Raissi, Eugen Beck, Ralf Schlüter, Hermann Ney:
Context-Dependent Acoustic Modeling without Explicit Phone Clustering. CoRR abs/2005.07578 (2020)
2010 – 2019
- 2019
- [j1]Ralf Schlüter
Upper and Lower Tight Error Bounds for Feature Omission with an Extension to Context Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 41(2): 502-514 (2019) - [c10]Christoph Lüscher, Eugen Beck, Kazuki Irie, Markus Kitza, Wilfried Michel, Albert Zeyer, Ralf Schlüter
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention. INTERSPEECH 2019: 231-235 - [c9]Anna Piunova, Eugen Beck, Ralf Schlüter
Rescoring Keyword Search Confidence Estimates with Graph-Based Re-Ranking Using Acoustic Word Embeddings. INTERSPEECH 2019: 4205-4209 - [i2]Christoph Lüscher, Eugen Beck, Kazuki Irie, Markus Kitza, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention - w/o Data Augmentation. CoRR abs/1905.03072 (2019) - [i1]Eugen Beck, Wei Zhou, Ralf Schlüter, Hermann Ney:
LSTM Language Models for LVCSR in First-Pass Decoding and Lattice-Rescoring. CoRR abs/1907.01030 (2019) - 2018
- [c8]Eugen Beck, Albert Zeyer, Patrick Doetsch, André Merboldt, Ralf Schlüter, Hermann Ney:
Sequence Modeling and Alignment for LVCSR-Systems. ITG Symposium on Speech Communication 2018: 1-5 - [c7]Jan-Thorsten Peter, Eugen Beck, Hermann Ney:
Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition. EMNLP (Demonstration) 2018: 84-89 - [c6]Eugen Beck, Mirko Hannemann, Patrick Dötsch, Ralf Schlüter
Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition. INTERSPEECH 2018: 766-770 - 2017
- [c5]Albert Zeyer, Eugen Beck, Ralf Schlüter
CTC in the Context of Generalized Full-Sum HMM Training. INTERSPEECH 2017: 944-948 - [c4]Pavel Golik
The 2016 RWTH Keyword Search System for Low-Resource Languages. SPECOM 2017: 719-730 - 2015
- [c3]Eugen Beck, Ralf Schlüter, Hermann Ney:
Error bounds for context reduction and feature omission. INTERSPEECH 2015: 1280-1284 - 2013
- [c2]Markus Nußbaum-Thom, Eugen Beck, Tamer Alkhouli, Ralf Schlüter, Hermann Ney:
Relative error bounds for statistical classifiers based on the f-divergence. INTERSPEECH 2013: 2197-2201 - [c1]Ralf Schlüter
Novel tight classification error bounds under mismatch conditions based on f-Divergence. ITW 2013: 1-5
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