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Patrick Doetsch
Patrick Doetsch
RWTH Aachen
Bestätigte E-Mail-Adresse bei apptek.com
Titel
Zitiert von
Zitiert von
Jahr
Cross-entropy vs. squared error training: a theoretical and experimental comparison.
P Golik, P Doetsch, H Ney
Interspeech 13, 1756-1760, 2013
3402013
Handwriting recognition with large multidimensional long short-term memory recurrent neural networks
P Voigtlaender, P Doetsch, H Ney
2016 15th international conference on frontiers in handwriting recognition …, 2016
2672016
Fast and robust training of recurrent neural networks for offline handwriting recognition
P Doetsch, M Kozielski, H Ney
2014 14th international conference on frontiers in handwriting recognition …, 2014
2352014
A comprehensive study of deep bidirectional LSTM RNNs for acoustic modeling in speech recognition
A Zeyer, P Doetsch, P Voigtlaender, R Schlüter, H Ney
2017 IEEE international conference on acoustics, speech and signal …, 2017
2162017
Improvements in rwth's system for off-line handwriting recognition
M Kozielski, P Doetsch, H Ney
2013 12th International Conference on Document Analysis and Recognition, 935-939, 2013
1132013
RETURNN: The RWTH extensible training framework for universal recurrent neural networks
P Doetsch, A Zeyer, P Voigtlaender, I Kulikov, R Schlüter, H Ney
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
812017
On the benefits of convolutional neural network combinations in offline handwriting recognition
D Suryani, P Doetsch, H Ney
2016 15th international conference on frontiers in handwriting recognition …, 2016
802016
Hierarchical hybrid MLP/HMM or rather MLP features for a discriminatively trained gaussian HMM: a comparison for offline handwriting recognition
P Dreuw, P Doetsch, C Plahl, H Ney
2011 18th IEEE International Conference on Image Processing, 3541-3544, 2011
792011
Logistic model trees with auc split criterion for the kdd cup 2009 small challenge
P Doetsch, C Buck, P Golik, N Hoppe, M Kramp, J Laudenberg, ...
KDD-Cup 2009 Competition, 77-88, 2009
462009
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
442015
Bidirectional decoder networks for attention-based end-to-end offline handwriting recognition
P Doetsch, A Zeyer, H Ney
2016 15th International Conference on Frontiers in Handwriting Recognition …, 2016
402016
The rwth large vocabulary arabic handwriting recognition system
M Hamdani, P Doetsch, M Kozielski, AED Mousa, H Ney
2014 11th IAPR International Workshop on Document Analysis Systems, 111-115, 2014
342014
Comparison of Bernoulli and Gaussian HMMs using a vertical repositioning technique for off-line handwriting recognition
P Doetsch, M Hamdani, H Ney, A Giménez, J Andrés-Ferrer, A Juan
2012 International Conference on Frontiers in Handwriting Recognition, 3-7, 2012
222012
Towards unsupervised learning for handwriting recognition
M Kozielski, M Nuhn, P Doetsch, H Ney
2014 14th International Conference on Frontiers in Handwriting Recognition …, 2014
202014
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
A comprehensive study of batch construction strategies for recurrent neural networks in mxnet
P Doetsch, P Golik, H Ney
arXiv preprint arXiv:1705.02414, 2017
192017
Multilingual off-line handwriting recognition in real-world images
M Kozielski, P Doetsch, M Hamdani, H Ney
2014 11th IAPR International Workshop on Document Analysis Systems, 121-125, 2014
192014
Open-lexicon language modeling combining word and character levels
M Kozielski, M Matysiak, P Doetsch, R Schlöter, H Ney
2014 14th International Conference on Frontiers in Handwriting Recognition …, 2014
162014
Improvement of context dependent modeling for Arabic handwriting recognition
M Hamdani, P Doetsch, H Ney
2014 14th International Conference on Frontiers in Handwriting Recognition …, 2014
142014
Inverted alignments for end-to-end automatic speech recognition
P Doetsch, M Hannemann, R Schlueter, H Ney
IEEE Journal of Selected Topics in Signal Processing 11 (8), 1265-1273, 2017
132017
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