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Georg Heigold
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Books and Theses
- 2010
- [b1]Georg Heigold:
A log-linear discriminative modeling framework for speech recognition. RWTH Aachen University, 2010, pp. 1-191
Journal Articles
- 2017
- [j11]Aljoscha Burchardt, Vivien Macketanz, Jon Dehdari, Georg Heigold, Jan-Thorsten Peter, Philip Williams:
A Linguistic Evaluation of Rule-Based, Phrase-Based, and Neural MT Engines. Prague Bull. Math. Linguistics 108: 159-170 (2017) - 2013
- [j10]Stephen J. Wright, Dimitri Kanevsky, Li Deng, Xiaodong He, Georg Heigold, Haizhou Li
:
Optimization Algorithms and Applications for Speech and Language Processing. IEEE Trans. Speech Audio Process. 21(11): 2231-2243 (2013) - [j9]Georg Heigold, Hermann Ney, Ralf Schlüter
Investigations on an EM-Style Optimization Algorithm for Discriminative Training of HMMs. IEEE ACM Trans. Audio Speech Lang. Process. 21(12): 2616-2626 (2013) - 2012
- [j8]Thomas Deselaers, Tobias Gass, Georg Heigold, Hermann Ney:
Latent Log-Linear Models for Handwritten Digit Classification. IEEE Trans. Pattern Anal. Mach. Intell. 34(6): 1105-1117 (2012) - [j7]Georg Heigold, Hermann Ney, Ralf Schlüter
Discriminative Training for Automatic Speech Recognition: Modeling, Criteria, Optimization, Implementation, and Performance. IEEE Signal Process. Mag. 29(6): 58-69 (2012) - [j6]Björn Hoffmeister, Georg Heigold, David Rybach
WFST Enabled Solutions to ASR Problems: Beyond HMM Decoding. IEEE Trans. Speech Audio Process. 20(2): 551-564 (2012) - 2011
- [j5]Philippe Dreuw, Georg Heigold, Hermann Ney:
Confidence- and margin-based MMI/MPE discriminative training for off-line handwriting recognition. Int. J. Document Anal. Recognit. 14(3): 273-288 (2011) - [j4]Georg Heigold, Hermann Ney, Patrick Lehnen, Tobias Gass, Ralf Schlüter
Equivalence of Generative and Log-Linear Models. IEEE Trans. Speech Audio Process. 19(5): 1138-1148 (2011) - 2010
- [j3]Georg Heigold, Philippe Dreuw, Stefan Hahn, Ralf Schlüter
Margin-Based Discriminative Training for String Recognition. IEEE J. Sel. Top. Signal Process. 4(6): 917-925 (2010) - [j2]Patrick Nguyen, Georg Heigold, Geoffrey Zweig:
Speech Recognition With Flat Direct Models. IEEE J. Sel. Top. Signal Process. 4(6): 994-1006 (2010) - [j1]Thomas Deselaers, Georg Heigold, Hermann Ney:
Object classification by fusing SVMs and Gaussian mixtures. Pattern Recognit. 43(7): 2476-2484 (2010)
Conference and Workshop Papers
- 2023
- [c49]Georg Heigold, Daniel Keysers, Matthias Minderer, Mario Lucic, Alexey A. Gritsenko
Video OWL-ViT: Temporally-consistent open-world localization in video. ICCV 2023: 13756-13765 - 2022
- [c48]Thomas Kipf, Gamaleldin Fathy Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff:
Conditional Object-Centric Learning from Video. ICLR 2022 - 2021
- [c47]Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid:
ViViT: A Video Vision Transformer. ICCV 2021: 6816-6826 - [c46]Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby:
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. ICLR 2021 - 2020
- [c45]Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf:
Object-Centric Learning with Slot Attention. NeurIPS 2020 - 2018
- [c44]Georg Heigold, Stalin Varanasi, Günter Neumann, Josef van Genabith:
How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse? AMTA (1) 2018: 68-80 - 2017
- [c43]Hans Uszkoreit, Aleksandra Gabryszak, Leonhard Hennig, Jörg Steffen, Renlong Ai, Stephan Busemann, Jon Dehdari, Josef van Genabith, Georg Heigold, Nils Rethmeier, Raphael Rubino, Sven Schmeier, Philippe Thomas, He Wang, Feiyu Xu:
Common Round: Application of Language Technologies to Large-Scale Web Debates. EACL (Software Demonstrations) 2017: 5-8 - [c42]Georg Heigold, Guenter Neumann, Josef van Genabith:
An Extensive Empirical Evaluation of Character-Based Morphological Tagging for 14 Languages. EACL (1) 2017: 505-513 - [c41]Ryan Cotterell, Georg Heigold:
Cross-lingual Character-Level Neural Morphological Tagging. EMNLP 2017: 748-759 - 2016
- [c40]Georg Heigold, Josef van Genabith, Günter Neumann:
Scaling character-based morphological tagging to fourteen languages. IEEE BigData 2016: 3895-3902 - [c39]Georg Heigold, Ignacio Moreno, Samy Bengio, Noam Shazeer:
End-to-end text-dependent speaker verification. ICASSP 2016: 5115-5119 - 2015
- [c38]Ehsan Variani, Erik McDermott, Georg Heigold:
A Gaussian Mixture Model layer jointly optimized with discriminative features within a Deep Neural Network architecture. ICASSP 2015: 4270-4274 - 2014
- [c37]Guoguo Chen, Carolina Parada, Georg Heigold:
Small-footprint keyword spotting using deep neural networks. ICASSP 2014: 4087-4091 - [c36]Georg Heigold, Erik McDermott, Vincent Vanhoucke
Asynchronous stochastic optimization for sequence training of deep neural networks. ICASSP 2014: 5587-5591 - [c35]Andrew W. Senior, Georg Heigold, Michiel Bacchiani, Hank Liao:
GMM-free DNN acoustic model training. ICASSP 2014: 5602-5606 - [c34]Samy Bengio, Georg Heigold:
Word embeddings for speech recognition. INTERSPEECH 2014: 1053-1057 - [c33]Hasim Sak, Oriol Vinyals, Georg Heigold, Andrew W. Senior, Erik McDermott, Rajat Monga, Mark Z. Mao:
Sequence discriminative distributed training of long short-term memory recurrent neural networks. INTERSPEECH 2014: 1209-1213 - [c32]Erik McDermott, Georg Heigold, Pedro J. Moreno, Andrew W. Senior, Michiel Bacchiani:
Asynchronous stochastic optimization for sequence training of deep neural networks: towards big data. INTERSPEECH 2014: 1224-1228 - [c31]Michiel Bacchiani, Andrew W. Senior, Georg Heigold:
Asynchronous, online, GMM-free training of a context dependent acoustic model for speech recognition. INTERSPEECH 2014: 1900-1904 - 2013
- [c30]Andrew W. Senior, Georg Heigold, Marc'Aurelio Ranzato, Ke Yang:
An empirical study of learning rates in deep neural networks for speech recognition. ICASSP 2013: 6724-6728 - [c29]Vincent Vanhoucke
Multiframe deep neural networks for acoustic modeling. ICASSP 2013: 7582-7585 - [c28]Xin Lei, Hui Lin, Georg Heigold:
Deep neural networks with auxiliary Gaussian mixture models for real-time speech recognition. ICASSP 2013: 7634-7638 - [c27]Georg Heigold, Vincent Vanhoucke
Multilingual acoustic models using distributed deep neural networks. ICASSP 2013: 8619-8623 - 2012
- [c26]Georg Heigold, Patrick Nguyen, Mitchel Weintraub, Vincent Vanhoucke
Investigations on exemplar-based features for speech recognition towards thousands of hours of unsupervised, noisy data. ICASSP 2012: 4437-4440 - [c25]Dimitri Kanevsky, Georg Heigold, Stephen J. Wright, Hermann Ney:
Overview of large scale optimization for discriminative training in speech recognition. ICASSP 2012: 5233-5236 - [c24]Markus Nußbaum-Thom, Zoltán Tüske, Georg Heigold, Ralf Schlüter, Hermann Ney:
Posterior-Scaled MPE: Novel Discriminative Training Criteria. INTERSPEECH 2012: 2614-2617 - [c23]Georg Heigold:
Exemplar-based speech recognition in a rescoring approach. MLSLP 2012 - 2011
- [c22]Georg Heigold, Stefan Hahn, Patrick Lehnen, Hermann Ney:
EM-style optimization of hidden conditional random fields for grapheme-to-phoneme conversion. ICASSP 2011: 4920-4923 - 2010
- [c21]Georg Heigold, Simon Wiesler, Markus Nußbaum-Thom, Patrick Lehnen, Ralf Schlüter
Discriminative HMMS, log-linear models, and CRFS: What is the difference? ICASSP 2010: 5546-5549 - [c20]Simon Wiesler, Georg Heigold, Markus Nußbaum-Thom, Ralf Schlüter, Hermann Ney:
A discriminative splitting criterion for phonetic decision trees. INTERSPEECH 2010: 54-57 - 2009
- [c19]Simon Wiesler, Markus Nußbaum-Thom, Georg Heigold, Ralf Schlüter
Investigations on features for log-linear acoustic models in continuous speech recognition. ASRU 2009: 52-57 - [c18]Muhammad Ali Tahir, Georg Heigold, Christian Plahl, Ralf Schlüter
Generalized likelihood ratio discriminant analysis. ASRU 2009: 76-81 - [c17]Georg Heigold, Ralf Schlüter
Modified MPE/MMI in a transducer-based framework. ICASSP 2009: 3749-3752 - [c16]Georg Heigold, Geoffrey Zweig, Xiao Li, Patrick Nguyen:
A flat direct model for speech recognition. ICASSP 2009: 3861-3864 - [c15]Philippe Dreuw, Georg Heigold, Hermann Ney:
Confidence-Based Discriminative Training for Model Adaptation in Offline Arabic Handwriting Recognition. ICDAR 2009: 596-600 - [c14]Georg Heigold, David Rybach, Ralf Schlüter, Hermann Ney:
Investigations on convex optimization using log-linear HMMs for digit string recognition. INTERSPEECH 2009: 216-219 - [c13]Christian Plahl, Björn Hoffmeister, Georg Heigold, Jonas Lööf, Ralf Schlüter, Hermann Ney:
Development of the GALE 2008 Mandarin LVCSR system. INTERSPEECH 2009: 2107-2110 - [c12]David Rybach, Christian Gollan, Georg Heigold, Björn Hoffmeister, Jonas Lööf, Ralf Schlüter, Hermann Ney:
The RWTH aachen university open source speech recognition system. INTERSPEECH 2009: 2111-2114 - [c11]Stefan Hahn, Patrick Lehnen, Georg Heigold, Hermann Ney:
Optimizing CRFs for SLU tasks in various languages using modified training criteria. INTERSPEECH 2009: 2727-2730 - 2008
- [c10]Georg Heigold, Thomas Deselaers, Ralf Schlüter
A GIS-like training algorithm for log-linear models with hidden variables. ICASSP 2008: 4045-4048 - [c9]Georg Heigold, Thomas Deselaers, Ralf Schlüter, Hermann Ney:
Modified MMI/MPE: a direct evaluation of the margin in speech recognition. ICML 2008: 384-391 - [c8]Thomas Deselaers, Georg Heigold, Hermann Ney:
SVMs, Gaussian mixtures, and their generative/discriminative fusion. ICPR 2008: 1-4 - [c7]Georg Heigold, Patrick Lehnen, Ralf Schlüter, Hermann Ney:
On the equivalence of Gaussian and log-linear HMMs. INTERSPEECH 2008: 273-276 - [c6]Christian Plahl, Björn Hoffmeister, Mei-Yuh Hwang, Danju Lu, Georg Heigold, Jonas Lööf, Ralf Schlüter, Hermann Ney:
Recent improvements of the RWTH GALE Mandarin LVCSR system. INTERSPEECH 2008: 2426-2429 - 2007
- [c5]Björn Hoffmeister, Christian Plahl, Peter Fritz, Georg Heigold, Jonas Lööf, Ralf Schlüter
Development of the 2007 RWTH Mandarin LVCSR system. ASRU 2007: 455-460 - [c4]Georg Heigold, Ralf Schlüter, Hermann Ney:
On the equivalence of Gaussian HMM and Gaussian HMM-like hidden conditional random fields. INTERSPEECH 2007: 1721-1724 - [c3]Thomas Deselaers, Georg Heigold, Hermann Ney:
Speech recognition with state-based nearest neighbour classifiers. INTERSPEECH 2007: 2093-2096 - [c2]Jonas Lööf, Christian Gollan, Stefan Hahn, Georg Heigold, Björn Hoffmeister, Christian Plahl, David Rybach, Ralf Schlüter, Hermann Ney:
The RWTH 2007 TC-STAR evaluation system for european English and Spanish. INTERSPEECH 2007: 2145-2148 - 2006
- [c1]Jonas Lööf, Maximilian Bisani, Christian Gollan, Georg Heigold, Björn Hoffmeister, Christian Plahl, Ralf Schlüter, Hermann Ney:
The 2006 RWTH parliamentary speeches transcription system. INTERSPEECH 2006
Parts in Books or Collections
- 2010
- [p1]Georg Heigold:
Eine Formulierung für den log-linearen, diskriminativen Ansatz in der Spracherkennung. Ausgezeichnete Informatikdissertationen 2010: 91-100
Informal and Other Publications
- 2023
- [i9]Georg Heigold, Matthias Minderer, Alexey A. Gritsenko, Alex Bewley, Daniel Keysers, Mario Lucic, Fisher Yu, Thomas Kipf:
Video OWL-ViT: Temporally-consistent open-world localization in video. CoRR abs/2308.11093 (2023) - 2021
- [i8]Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid:
ViViT: A Video Vision Transformer. CoRR abs/2103.15691 (2021) - [i7]Thomas Kipf, Gamaleldin F. Elsayed, Aravindh Mahendran, Austin Stone, Sara Sabour, Georg Heigold, Rico Jonschkowski, Alexey Dosovitskiy, Klaus Greff:
Conditional Object-Centric Learning from Video. CoRR abs/2111.12594 (2021) - 2020
- [i6]Francesco Locatello, Dirk Weissenborn, Thomas Unterthiner, Aravindh Mahendran, Georg Heigold, Jakob Uszkoreit, Alexey Dosovitskiy, Thomas Kipf:
Object-Centric Learning with Slot Attention. CoRR abs/2006.15055 (2020) - [i5]Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, Neil Houlsby:
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. CoRR abs/2010.11929 (2020) - 2017
- [i4]Georg Heigold, Günter Neumann, Josef van Genabith:
How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse? CoRR abs/1704.04441 (2017) - [i3]Ryan Cotterell, Georg Heigold:
Cross-lingual, Character-Level Neural Morphological Tagging. CoRR abs/1708.09157 (2017) - 2016
- [i2]Georg Heigold, Guenter Neumann, Josef van Genabith:
Neural Morphological Tagging from Characters for Morphologically Rich Languages. CoRR abs/1606.06640 (2016) - 2015
- [i1]Georg Heigold, Ignacio Moreno, Samy Bengio, Noam Shazeer:
End-to-End Text-Dependent Speaker Verification. CoRR abs/1509.08062 (2015)
Coauthor Index
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