Georg Heigold
According to our database1,
Georg Heigold
authored at least 64 papers
between 2006 and 2023.
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Bibliography
2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
2018
How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?
Proceedings of the 13th Conference of the Association for Machine Translation in the Americas, 2018
2017
Prague Bull. Math. Linguistics, 2017
How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse?
CoRR, 2017
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
An Extensive Empirical Evaluation of Character-Based Morphological Tagging for 14 Languages.
Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics, 2017
2016
CoRR, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016
2015
A Gaussian Mixture Model layer jointly optimized with discriminative features within a Deep Neural Network architecture.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015
2014
Sequence discriminative distributed training of long short-term memory recurrent neural networks.
Proceedings of the INTERSPEECH 2014, 2014
Asynchronous stochastic optimization for sequence training of deep neural networks: towards big data.
Proceedings of the INTERSPEECH 2014, 2014
Asynchronous, online, GMM-free training of a context dependent acoustic model for speech recognition.
Proceedings of the INTERSPEECH 2014, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
IEEE Trans. Speech Audio Process., 2013
Investigations on an EM-Style Optimization Algorithm for Discriminative Training of HMMs.
IEEE ACM Trans. Audio Speech Lang. Process., 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
Deep neural networks with auxiliary Gaussian mixture models for real-time speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
IEEE Trans. Speech Audio Process., 2012
Discriminative Training for Automatic Speech Recognition: Modeling, Criteria, Optimization, Implementation, and Performance.
IEEE Signal Process. Mag., 2012
IEEE Trans. Pattern Anal. Mach. Intell., 2012
Proceedings of the 2012 Symposium on Machine Learning in Speech and Language Processing, 2012
Proceedings of the INTERSPEECH 2012, 2012
Overview of large scale optimization for discriminative training in speech recognition.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
Investigations on exemplar-based features for speech recognition towards thousands of hours of unsupervised, noisy data.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012
2011
IEEE Trans. Speech Audio Process., 2011
Confidence- and margin-based MMI/MPE discriminative training for off-line handwriting recognition.
Int. J. Document Anal. Recognit., 2011
EM-style optimization of hidden conditional random fields for grapheme-to-phoneme conversion.
Proceedings of the IEEE International Conference on Acoustics, 2011
2010
PhD thesis, 2010
IEEE J. Sel. Top. Signal Process., 2010
Proceedings of the INTERSPEECH 2010, 2010
Proceedings of the IEEE International Conference on Acoustics, 2010
Eine Formulierung für den log-linearen, diskriminativen Ansatz in der Spracherkennung.
Proceedings of the Ausgezeichnete Informatikdissertationen 2010, 2010
2009
Proceedings of the INTERSPEECH 2009, 2009
Proceedings of the INTERSPEECH 2009, 2009
Investigations on convex optimization using log-linear HMMs for digit string recognition.
Proceedings of the INTERSPEECH 2009, 2009
Proceedings of the INTERSPEECH 2009, 2009
Confidence-Based Discriminative Training for Model Adaptation in Offline Arabic Handwriting Recognition.
Proceedings of the 10th International Conference on Document Analysis and Recognition, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Investigations on features for log-linear acoustic models in continuous speech recognition.
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009
2008
Proceedings of the INTERSPEECH 2008, 2008
Proceedings of the INTERSPEECH 2008, 2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the Machine Learning, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008
2007
Proceedings of the INTERSPEECH 2007, 2007
On the equivalence of Gaussian HMM and Gaussian HMM-like hidden conditional random fields.
Proceedings of the INTERSPEECH 2007, 2007
Proceedings of the INTERSPEECH 2007, 2007
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007
2006
Proceedings of the INTERSPEECH 2006, 2006