Rasr-the rwth aachen university open source speech recognition toolkit D Rybach, S Hahn, P Lehnen, D Nolden, M Sundermeyer, Z Tüske, ... Proc. ieee automatic speech recognition and understanding workshop, 2011 | 116 | 2011 |
A convergence analysis of log-linear training S Wiesler, H Ney Advances in Neural Information Processing Systems 24, 2011 | 104 | 2011 |
Mean-normalized stochastic gradient for large-scale deep learning S Wiesler, A Richard, R Schlüter, H Ney 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 87 | 2014 |
Discriminative training for automatic speech recognition: Modeling, criteria, optimization, implementation, and performance G Heigold, H Ney, R Schluter, S Wiesler IEEE Signal Processing Magazine 29 (6), 58-69, 2012 | 66 | 2012 |
RASR/NN: The RWTH neural network toolkit for speech recognition S Wiesler, A Richard, P Golik, R Schlüter, H Ney 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 62 | 2014 |
The RWTH 2010 Quaero ASR evaluation system for English, French, and German M Sundermeyer, M Nussbaum-Thom, S Wiesler, C Plahl, AED Mousa, ... Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International …, 2011 | 59 | 2011 |
Sequence-discriminative training of recurrent neural networks P Voigtlaender, P Doetsch, S Wiesler, R Schlüter, H Ney 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 45 | 2015 |
Investigations on Hessian-free optimization for cross-entropy training of deep neural networks S Wiesler, J Li, J Xue INTERSPEECH, 3317-3321, 2013 | 37 | 2013 |
Spoken language translation using automatically transcribed text in training S Peitz, S Wiesler, M Nußbaum-Thom, H Ney IWSLT, 276-283, 2012 | 33 | 2012 |
The RWTH 2009 Quaero ASR evaluation system for English and German M Nußbaum-Thom, S Wiesler, M Sundermeyer, C Plahl, S Hahn, ... INTERSPEECH, 1517-1520, 2010 | 27 | 2010 |
Investigations on features for log-linear acoustic models in continuous speech recognition S Wiesler, M Nußbaum-Thom, G Heigold, R Schlüter, H Ney 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 52-57, 2009 | 23 | 2009 |
Compacting neural network classifiers via dropout training Y Kubo, G Tucker, S Wiesler arXiv preprint arXiv:1611.06148, 2016 | 18 | 2016 |
Discriminative HMMs, log-linear models, and CRFs: What is the difference? G Heigold, S Wiesler, M Nussbaum-Thom, P Lehnen, R Schluter, H Ney Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International …, 2010 | 18 | 2010 |
Investigations on sequence training of neural networks S Wiesler, P Golik, R Schlüter, H Ney 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 17 | 2015 |
Slot-triggered contextual biasing for personalized speech recognition using neural transducers S Tong, P Harding, S Wiesler ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 15 | 2023 |
A convergence analysis of log-linear training and its application to speech recognition S Wiesler, R Schlüter, H Ney 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 1-6, 2011 | 13 | 2011 |
Subword regularization: An analysis of scalability and generalization for end-to-end automatic speech recognition E Lakomkin, J Heymann, I Sklyar, S Wiesler arXiv preprint arXiv:2008.04034, 2020 | 11 | 2020 |
A critical evaluation of stochastic algorithms for convex optimization S Wiesler, A Richard, R Schlüter, H Ney 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 11 | 2013 |
A discriminative splitting criterion for phonetic decision trees S Wiesler, G Heigold, M Nußbaum-Thom, R Schlüter, H Ney INTERSPEECH, 54-57, 2010 | 11 | 2010 |
Lexicon models for hierarchical phrase-based machine translation M Huck, S Mansour, S Wiesler, H Ney IWSLT, 191-198, 2011 | 10 | 2011 |