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ORCIDWilfried Michel
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2020 – today
- 2023
[c15]Daniel Mann, Tina Raissi, Wilfried Michel, Ralf Schlüter, Hermann Ney:
End-To-End Training of a Neural HMM with Label and Transition Probabilities. ASRU 2023: 1-8- [i12]Daniel Mann, Tina Raissi, Wilfried Michel, Ralf Schlüter, Hermann Ney:
End-to-End Training of a Neural HMM with Label and Transition Probabilities. CoRR abs/2310.02724 (2023) - 2022
- [c14]Mohammad Zeineldeen, Jingjing Xu, Christoph Lüscher, Wilfried Michel, Alexander Gerstenberger, Ralf Schlüter
, Hermann Ney:
Conformer-Based Hybrid ASR System For Switchboard Dataset. ICASSP 2022: 7437-7441 - [c13]Nils-Philipp Wynands, Wilfried Michel, Jan Rosendahl, Ralf Schlüter, Hermann Ney:
Efficient Sequence Training of Attention Models Using Approximative Recombination. ICASSP 2022: 8002-8006 - [c12]Wei Zhou, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Efficient Training of Neural Transducer for Speech Recognition. INTERSPEECH 2022: 2058-2062 - [c11]Felix Meyer, Wilfried Michel, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney:
Automatic Learning of Subword Dependent Model Scales. INTERSPEECH 2022: 4133-4136 - [i11]Wei Zhou, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Efficient Training of Neural Transducer for Speech Recognition. CoRR abs/2204.10586 (2022) - 2021
- [c10]Peter Vieting, Christoph Lüscher, Wilfried Michel, Ralf Schlüter, Hermann Ney:
On Architectures and Training for Raw Waveform Feature Extraction in ASR. ASRU 2021: 267-274 - [c9]Albert Zeyer, André Merboldt, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Librispeech Transducer Model with Internal Language Model Prior Correction. Interspeech 2021: 2052-2056 - [c8]Mohammad Zeineldeen, Aleksandr Glushko, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Investigating Methods to Improve Language Model Integration for Attention-Based Encoder-Decoder ASR Models. Interspeech 2021: 2856-2860 - [i10]Albert Zeyer, André Merboldt, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Librispeech Transducer Model with Internal Language Model Prior Correction. CoRR abs/2104.03006 (2021) - [i9]Peter Vieting, Christoph Lüscher, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Feature Replacement and Combination for Hybrid ASR Systems. CoRR abs/2104.04298 (2021) - [i8]Mohammad Zeineldeen, Aleksandr Glushko, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
Investigating Methods to Improve Language Model Integration for Attention-based Encoder-Decoder ASR Models. CoRR abs/2104.05544 (2021) - [i7]Nils-Philipp Wynands, Wilfried Michel, Jan Rosendahl, Ralf Schlüter, Hermann Ney:
Efficient Sequence Training of Attention Models using Approximative Recombination. CoRR abs/2110.09245 (2021) - [i6]Felix Meyer, Wilfried Michel, Mohammad Zeineldeen, Ralf Schlüter, Hermann Ney:
Automatic Learning of Subword Dependent Model Scales. CoRR abs/2110.09324 (2021) - [i5]Mohammad Zeineldeen, Jingjing Xu, Christoph Lüscher, Wilfried Michel, Alexander Gerstenberger, Ralf Schlüter, Hermann Ney:
Conformer-based Hybrid ASR System for Switchboard Dataset. CoRR abs/2111.03442 (2021) - 2020
- [c7]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Frame-Level MMI as A Sequence Discriminative Training Criterion for LVCSR. ICASSP 2020: 6904-6908 - [c6]Wei Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney:
The Rwth Asr System for Ted-Lium Release 2: Improving Hybrid Hmm With Specaugment. ICASSP 2020: 7839-7843 - [c5]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Early Stage LM Integration Using Local and Global Log-Linear Combination. INTERSPEECH 2020: 3605-3609 - [i4]Wei Zhou, Wilfried Michel, Kazuki Irie, Markus Kitza, Ralf Schlüter, Hermann Ney:
The RWTH ASR System for TED-LIUM Release 2: Improving Hybrid HMM with SpecAugment. CoRR abs/2004.00960 (2020) - [i3]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Early Stage LM Integration Using Local and Global Log-Linear Combination. CoRR abs/2005.10049 (2020)
2010 – 2019
- 2019
- [c4]Christoph Lüscher, Eugen Beck, Kazuki Irie, Markus Kitza, Wilfried Michel, Albert Zeyer, Ralf Schlüter, Hermann Ney:
RWTH ASR Systems for LibriSpeech: Hybrid vs Attention. INTERSPEECH 2019: 231-235 - [c3]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR. INTERSPEECH 2019: 1601-1605 - [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]Wilfried Michel, Ralf Schlüter, Hermann Ney:
Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR. CoRR abs/1907.01409 (2019) - 2017
- [c2]Zoltán Tüske, Wilfried Michel, Ralf Schlüter, Hermann Ney:
Parallel Neural Network Features for Improved Tandem Acoustic Modeling. INTERSPEECH 2017: 1651-1655 - 2016
- [c1]Wilfried Michel, Zoltán Tüske, M. Ali Basha Shaik, Ralf Schlüter, Hermann Ney:
The RWTH Aachen LVCSR system for IWSLT-2016 German Skype conversation recognition task. IWSLT 2016
Coauthor Index
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