The 2006 RWTH parliamentary speeches transcription system. - Jonas Lööf; Maximilian Bisani; Christian Gollan; Georg Heigold; Björn Hoffmeister; Christian Plahl; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2006)

Development of the 2007 RWTH Mandarin LVCSR system. - Björn Hoffmeister; Christian Plahl; Peter Fritz; Georg Heigold; Jonas Lööf; Ralf Schlüter; Hermann Ney (ASRU, 2007)

Speech recognition with state-based nearest neighbour classifiers. - Thomas Deselaers; Georg Heigold; Hermann Ney (INTERSPEECH, 2007)

On the equivalence of Gaussian HMM and Gaussian HMM-like hidden conditional random fields. - Georg Heigold; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2007)

The RWTH 2007 TC-STAR evaluation system for european English and Spanish. - Jonas Lööf; Christian Gollan; Stefan Hahn; Georg Heigold; Björn Hoffmeister; Christian Plahl; David Rybach; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2007)

A GIS-like training algorithm for log-linear models with hidden variables. - Georg Heigold; Thomas Deselaers; Ralf Schlüter; Hermann Ney (ICASSP, 2008)

Modified MMI/MPE: a direct evaluation of the margin in speech recognition. - Georg Heigold; Thomas Deselaers; Ralf Schlüter; Hermann Ney (ICML, 2008)

SVMs, Gaussian mixtures, and their generative/discriminative fusion. - Thomas Deselaers; Georg Heigold; Hermann Ney (ICPR, 2008)

On the equivalence of Gaussian and log-linear HMMs. - Georg Heigold; Patrick Lehnen; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2008)

Recent improvements of the RWTH GALE Mandarin LVCSR system. - Christian Plahl; Björn Hoffmeister; Mei-Yuh Hwang; Danju Lu; Georg Heigold; Jonas Lööf; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2008)

Generalized likelihood ratio discriminant analysis. - Muhammad Ali Tahir; Georg Heigold; Christian Plahl; Ralf Schlüter; Hermann Ney (ASRU, 2009)

Investigations on features for log-linear acoustic models in continuous speech recognition. - Simon Wiesler; Markus Nußbaum-Thom; Georg Heigold; Ralf Schlüter; Hermann Ney (ASRU, 2009)

Modified MPE/MMI in a transducer-based framework. - Georg Heigold; Ralf Schlüter; Hermann Ney (ICASSP, 2009)

A flat direct model for speech recognition. - Georg Heigold; Geoffrey Zweig; Xiao Li 006; Patrick Nguyen (ICASSP, 2009)

Confidence-Based Discriminative Training for Model Adaptation in Offline Arabic Handwriting Recognition. - Philippe Dreuw; Georg Heigold; Hermann Ney (ICDAR, 2009)

Optimizing CRFs for SLU tasks in various languages using modified training criteria. - Stefan Hahn; Patrick Lehnen; Georg Heigold; Hermann Ney (INTERSPEECH, 2009)

Investigations on convex optimization using log-linear HMMs for digit string recognition. - Georg Heigold; David Rybach; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2009)

Development of the GALE 2008 Mandarin LVCSR system. - Christian Plahl; Björn Hoffmeister; Georg Heigold; Jonas Lööf; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2009)

The RWTH aachen university open source speech recognition system. - David Rybach; Christian Gollan; Georg Heigold; Björn Hoffmeister; Jonas Lööf; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2009)

Eine Formulierung für den log-linearen, diskriminativen Ansatz in der Spracherkennung. - Georg Heigold (Ausgezeichnete Informatikdissertationen, 2010)

Discriminative HMMS, log-linear models, and CRFS: What is the difference? - Georg Heigold; Simon Wiesler; Markus Nußbaum-Thom; Patrick Lehnen; Ralf Schlüter; Hermann Ney (ICASSP, 2010)

A discriminative splitting criterion for phonetic decision trees. - Simon Wiesler; Georg Heigold; Markus Nußbaum-Thom; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2010)

Margin-Based Discriminative Training for String Recognition. - Georg Heigold; Philippe Dreuw; Stefan Hahn; Ralf Schlüter; Hermann Ney (IEEE J. Sel. Top. Signal Process., 2010)

Speech Recognition With Flat Direct Models. - Patrick Nguyen; Georg Heigold; Geoffrey Zweig (IEEE J. Sel. Top. Signal Process., 2010)

Object classification by fusing SVMs and Gaussian mixtures. - Thomas Deselaers; Georg Heigold; Hermann Ney (Pattern Recognit., 2010)

A log-linear discriminative modeling framework for speech recognition. - Georg Heigold (2010)

EM-style optimization of hidden conditional random fields for grapheme-to-phoneme conversion. - Georg Heigold; Stefan Hahn; Patrick Lehnen; Hermann Ney (ICASSP, 2011)

Confidence- and margin-based MMI/MPE discriminative training for off-line handwriting recognition. - Philippe Dreuw; Georg Heigold; Hermann Ney (Int. J. Document Anal. Recognit., 2011)

Equivalence of Generative and Log-Linear Models. - Georg Heigold; Hermann Ney; Patrick Lehnen; Tobias Gass; Ralf Schlüter (IEEE Trans. Speech Audio Process., 2011)

Investigations on exemplar-based features for speech recognition towards thousands of hours of unsupervised, noisy data. - Georg Heigold; Patrick Nguyen; Mitchel Weintraub; Vincent Vanhoucke (ICASSP, 2012)

Overview of large scale optimization for discriminative training in speech recognition. - Dimitri Kanevsky; Georg Heigold; Stephen J. Wright 001; Hermann Ney (ICASSP, 2012)

Posterior-Scaled MPE: Novel Discriminative Training Criteria. - Markus Nußbaum-Thom; Zoltán Tüske; Georg Heigold; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2012)

Exemplar-based speech recognition in a rescoring approach. - Georg Heigold (MLSLP, 2012)

Latent Log-Linear Models for Handwritten Digit Classification. - Thomas Deselaers; Tobias Gass; Georg Heigold; Hermann Ney (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Discriminative Training for Automatic Speech Recognition: Modeling, Criteria, Optimization, Implementation, and Performance. - Georg Heigold; Hermann Ney; Ralf Schlüter; Simon Wiesler (IEEE Signal Process. Mag., 2012)

WFST Enabled Solutions to ASR Problems: Beyond HMM Decoding. - Björn Hoffmeister; Georg Heigold; David Rybach; Ralf Schlüter; Hermann Ney (IEEE Trans. Speech Audio Process., 2012)

Multilingual acoustic models using distributed deep neural networks. - Georg Heigold; Vincent Vanhoucke; Andrew W. Senior; Patrick Nguyen; Marc'Aurelio Ranzato; Matthieu Devin; Jeffrey Dean (ICASSP, 2013)

Deep neural networks with auxiliary Gaussian mixture models for real-time speech recognition. - Xin Lei; Hui Lin; Georg Heigold (ICASSP, 2013)

An empirical study of learning rates in deep neural networks for speech recognition. - Andrew W. Senior; Georg Heigold; Marc'Aurelio Ranzato; Ke Yang (ICASSP, 2013)

Multiframe deep neural networks for acoustic modeling. - Vincent Vanhoucke; Matthieu Devin; Georg Heigold (ICASSP, 2013)

Investigations on an EM-Style Optimization Algorithm for Discriminative Training of HMMs. - Georg Heigold; Hermann Ney; Ralf Schlüter (IEEE ACM Trans. Audio Speech Lang. Process., 2013)

Optimization Algorithms and Applications for Speech and Language Processing. - Stephen J. Wright 001; Dimitri Kanevsky; Li Deng 001; Xiaodong He 001; Georg Heigold; Haizhou Li 001 (IEEE Trans. Speech Audio Process., 2013)

Small-footprint keyword spotting using deep neural networks. - Guoguo Chen; Carolina Parada; Georg Heigold (ICASSP, 2014)

Asynchronous stochastic optimization for sequence training of deep neural networks. - Georg Heigold; Erik McDermott; Vincent Vanhoucke; Andrew W. Senior; Michiel Bacchiani (ICASSP, 2014)

GMM-free DNN acoustic model training. - Andrew W. Senior; Georg Heigold; Michiel Bacchiani; Hank Liao (ICASSP, 2014)

Asynchronous, online, GMM-free training of a context dependent acoustic model for speech recognition. - Michiel Bacchiani; Andrew W. Senior; Georg Heigold (INTERSPEECH, 2014)

Word embeddings for speech recognition. - Samy Bengio; Georg Heigold (INTERSPEECH, 2014)

Asynchronous stochastic optimization for sequence training of deep neural networks: towards big data. - Erik McDermott; Georg Heigold; Pedro J. Moreno 001; Andrew W. Senior; Michiel Bacchiani (INTERSPEECH, 2014)

Sequence discriminative distributed training of long short-term memory recurrent neural networks. - Hasim Sak; Oriol Vinyals; Georg Heigold; Andrew W. Senior; Erik McDermott; Rajat Monga; Mark Z. Mao (INTERSPEECH, 2014)

A Gaussian Mixture Model layer jointly optimized with discriminative features within a Deep Neural Network architecture. - Ehsan Variani; Erik McDermott; Georg Heigold (ICASSP, 2015)

Scaling character-based morphological tagging to fourteen languages. - Georg Heigold; Josef van Genabith; Günter Neumann (IEEE BigData, 2016)

End-to-end text-dependent speaker verification. - Georg Heigold; Ignacio Moreno; Samy Bengio; Noam Shazeer (ICASSP, 2016)

Neural Morphological Tagging from Characters for Morphologically Rich Languages. - Georg Heigold; Guenter Neumann; Josef van Genabith (CoRR, 2016)

An Extensive Empirical Evaluation of Character-Based Morphological Tagging for 14 Languages. - Georg Heigold; Guenter Neumann; Josef van Genabith (EACL (1), 2017)

Common Round: Application of Language Technologies to Large-Scale Web Debates. - 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; et al. (EACL (Software Demonstrations), 2017)

Cross-lingual Character-Level Neural Morphological Tagging. - Ryan Cotterell; Georg Heigold (EMNLP, 2017)

How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse? - Georg Heigold; Günter Neumann; Josef van Genabith (CoRR, 2017)

A Linguistic Evaluation of Rule-Based, Phrase-Based, and Neural MT Engines. - Aljoscha Burchardt; Vivien Macketanz; Jon Dehdari; Georg Heigold; Jan-Thorsten Peter; Philip Williams (Prague Bull. Math. Linguistics, 2017)

How Robust Are Character-Based Word Embeddings in Tagging and MT Against Wrod Scramlbing or Randdm Nouse? - Georg Heigold; Stalin Varanasi; Günter Neumann; Josef van Genabith (AMTA (1), 2018)

Object-Centric Learning with Slot Attention. - Francesco Locatello; Dirk Weissenborn; Thomas Unterthiner; Aravindh Mahendran; Georg Heigold; Jakob Uszkoreit; Alexey Dosovitskiy; Thomas Kipf (NeurIPS, 2020)

ViViT: A Video Vision Transformer. - Anurag Arnab; Mostafa Dehghani 001; Georg Heigold; Chen Sun 002; Mario Lucic; Cordelia Schmid (ICCV, 2021)

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale. - Alexey Dosovitskiy; Lucas Beyer; Alexander Kolesnikov 003; Dirk Weissenborn; Xiaohua Zhai; Thomas Unterthiner; Mostafa Dehghani 001; Matthias Minderer; Georg Heigold; Sylvain Gelly; Jakob Uszkoreit; Neil Houlsby (ICLR, 2021)

Conditional Object-Centric Learning from Video. - Thomas Kipf; Gamaleldin Fathy Elsayed; Aravindh Mahendran; Austin Stone; Sara Sabour; Georg Heigold; Rico Jonschkowski; Alexey Dosovitskiy; Klaus Greff (ICLR, 2022)

Video OWL-ViT: Temporally-consistent open-world localization in video. - Georg Heigold; Daniel Keysers; Matthias Minderer; Mario Lucic; Alexey A. Gritsenko; Fisher Yu 001; Alex Bewley; Thomas Kipf (ICCV, 2023)