Patrick Doetsch

Orcid: 0000-0003-0359-3027

According to our database1, Patrick Doetsch authored at least 26 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2020
Alignment models for recurrent neural networks.
PhD thesis, 2020

2018
Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition.
Proceedings of the Interspeech 2018, 2018

MLLP-UPV and RWTH Aachen Spanish ASR Systems for the IberSpeech-RTVE 2018 Speech-to-Text Transcription Challenge.
Proceedings of the Fourth International Conference, 2018

Sequence Modeling and Alignment for LVCSR-Systems.
Proceedings of the 13th ITG Symposium on Speech Communication, 2018

2017
Inverted Alignments for End-to-End Automatic Speech Recognition.
IEEE J. Sel. Top. Signal Process., 2017

A comprehensive study of batch construction strategies for recurrent neural networks in MXNet.
CoRR, 2017

A comprehensive study of deep bidirectional LSTM RNNS for acoustic modeling in speech recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Returnn: The RWTH extensible training framework for universal recurrent neural networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Automatic Speech Recognition Based on Neural Networks.
Proceedings of the Speech and Computer - 18th International Conference, 2016

Handwriting Recognition with Large Multidimensional Long Short-Term Memory Recurrent Neural Networks.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

On the Benefits of Convolutional Neural Network Combinations in Offline Handwriting Recognition.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

Bidirectional Decoder Networks for Attention-Based End-to-End Offline Handwriting Recognition.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

2015
Investigation of Segmental Conditional Random Fields for large vocabulary handwriting recognition.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Bagging by design for continuous Handwriting Recognition using multi-objective particle swarm optimization.
Proceedings of the 13th International Conference on Document Analysis and Recognition, 2015

Sequence-discriminative training of recurrent neural networks.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Towards Unsupervised Learning for Handwriting Recognition.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

Open-Lexicon Language Modeling Combining Word and Character Levels.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

Improvement of Context Dependent Modeling for Arabic Handwriting Recognition.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

Fast and Robust Training of Recurrent Neural Networks for Offline Handwriting Recognition.
Proceedings of the 14th International Conference on Frontiers in Handwriting Recognition, 2014

Multilingual Off-Line Handwriting Recognition in Real-World Images.
Proceedings of the 11th IAPR International Workshop on Document Analysis Systems, 2014

The RWTH Large Vocabulary Arabic Handwriting Recognition System.
Proceedings of the 11th IAPR International Workshop on Document Analysis Systems, 2014

2013
Cross-entropy vs. squared error training: a theoretical and experimental comparison.
Proceedings of the INTERSPEECH 2013, 2013

Improvements in RWTH's System for Off-Line Handwriting Recognition.
Proceedings of the 12th International Conference on Document Analysis and Recognition, 2013

2012
Comparison of Bernoulli and Gaussian HMMs Using a Vertical Repositioning Technique for Off-Line Handwriting Recognition.
Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition, 2012

2011
Hierarchical hybrid MLP/HMM or rather MLP features for a discriminatively trained Gaussian HMM: A comparison for offline handwriting recognition.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2009
Logistic Model Trees with AUC Split Criterion for the KDD Cup 2009 Small Challenge.
Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009


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