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)

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)

The RWTH 2009 quaero ASR evaluation system for English and German. - Markus Nußbaum-Thom; Simon Wiesler; Martin Sundermeyer; Christian Plahl; Stefan Hahn; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2010)

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

A convergence analysis of log-linear training and its application to speech recognition. - Simon Wiesler; Ralf Schlüter; Hermann Ney (ASRU, 2011)

Subspace pursuit method for kernel-log-linear models. - Yotaro Kubo; Simon Wiesler; Ralf Schlüter; Hermann Ney; Shinji Watanabe 001; Atsushi Nakamura; Tetsunori Kobayashi (ICASSP, 2011)

The RWTH 2010 Quaero ASR evaluation system for English, French, and German. - Martin Sundermeyer; Markus Nußbaum-Thom; Simon Wiesler; Christian Plahl; Amr El-Desoky Mousa; Stefan Hahn; David Nolden; Ralf Schlüter; Hermann Ney (ICASSP, 2011)

Feature selection for log-linear acoustic models. - Simon Wiesler; Alexander Richard; Yotaro Kubo; Ralf Schlüter; Hermann Ney (ICASSP, 2011)

Lexicon models for hierarchical phrase-based machine translation. - Matthias Huck; Saab Mansour; Simon Wiesler; Hermann Ney (IWSLT, 2011)

A Convergence Analysis of Log-Linear Training. - Simon Wiesler; Hermann Ney (NIPS, 2011)

Basis vector orthogonalization for an improved kernel gradient matching pursuit method. - Yotaro Kubo; Shinji Watanabe 001; Atsushi Nakamura; Simon Wiesler; Ralf Schlüter; Hermann Ney (ICASSP, 2012)

Accelerated Batch Learning of Convex Log-linear Models for LVCSR. - Simon Wiesler; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2012)

Spoken language translation using automatically transcribed text in training. - Stephan Peitz; Simon Wiesler; Markus Nußbaum-Thom; Hermann Ney (IWSLT, 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)

A critical evaluation of stochastic algorithms for convex optimization. - Simon Wiesler; Alexander Richard; Ralf Schlüter; Hermann Ney (ICASSP, 2013)

Improving LVCSR with hidden conditional random fields for grapheme-to-phoneme conversion. - Stefan Hahn; Patrick Lehnen; Simon Wiesler; Ralf Schlüter; Hermann Ney (INTERSPEECH, 2013)

Investigations on hessian-free optimization for cross-entropy training of deep neural networks. - Simon Wiesler; Jinyu Li 001; Jian Xue (INTERSPEECH, 2013)

The RWTH Aachen German and English LVCSR systems for IWSLT-2013. - M. Ali Basha Shaik; Zoltán Tüske; Simon Wiesler; Markus Nußbaum-Thom; Stephan Peitz; Ralf Schlüter; Hermann Ney (IWSLT (Evaluation Campaign), 2013)

The RWTH English lecture recognition system. - Simon Wiesler; Kazuki Irie; Zoltán Tüske; Ralf Schlüter; Hermann Ney (ICASSP, 2014)

RASR/NN: The RWTH neural network toolkit for speech recognition. - Simon Wiesler; Alexander Richard; Pavel Golik; Ralf Schlüter; Hermann Ney (ICASSP, 2014)

Mean-normalized stochastic gradient for large-scale deep learning. - Simon Wiesler; Alexander Richard; Ralf Schlüter; Hermann Ney (ICASSP, 2014)

Investigation of mixture splitting concept for training linear bottlenecks of deep neural network acoustic models. - Muhammad Ali Tahir; Simon Wiesler; Ralf Schlüter; Hermann Ney (ICASSP, 2015)

Sequence-discriminative training of recurrent neural networks. - Paul Voigtlaender; Patrick Doetsch; Simon Wiesler; Ralf Schlüter; Hermann Ney (ICASSP, 2015)

Investigations on sequence training of neural networks. - Simon Wiesler; Pavel Golik; Ralf Schlüter; Hermann Ney (ICASSP, 2015)

Compacting Neural Network Classifiers via Dropout Training. - Yotaro Kubo; George Tucker; Simon Wiesler (CoRR, 2016)

Optimization of discriminative models for speech and handwriting recognition. - Simon Wiesler (2017)

Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition. - Egor Lakomkin; Jahn Heymann; Ilya Sklyar; Simon Wiesler (INTERSPEECH, 2020)

Improving Speech Recognition of Compound-Rich Languages. - Prabhat Pandey; Volker Leutnant; Simon Wiesler; Jahn Heymann; Daniel Willett (INTERSPEECH, 2020)

Improving RNN-T ASR Accuracy Using Untranscribed Context Audio. - Andreas Schwarz; Ilya Sklyar; Simon Wiesler (CoRR, 2020)

Improving RNN-T ASR Accuracy Using Context Audio. - Andreas Schwarz; Ilya Sklyar; Simon Wiesler (Interspeech, 2021)

Contextual-Utterance Training for Automatic Speech Recognition. - Alejandro Gómez Alanís; Lukas Drude; Andreas Schwarz; Rupak Vignesh Swaminathan; Simon Wiesler (IberSPEECH, 2022)

Hierarchical Attention-Based Contextual Biasing For Personalized Speech Recognition Using Neural Transducers. - Sibo Tong; Philip Harding; Simon Wiesler (ASRU, 2023)

Slot-Triggered Contextual Biasing For Personalized Speech Recognition Using Neural Transducers. - Sibo Tong; Philip Harding; Simon Wiesler (ICASSP, 2023)

Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition. - Belen Alastruey; Lukas Drude; Jahn Heymann; Simon Wiesler (INTERSPEECH, 2023)

Selective Biasing with Trie-based Contextual Adapters for Personalised Speech Recognition using Neural Transducers. - Philip Harding; Sibo Tong; Simon Wiesler (INTERSPEECH, 2023)

Model-Internal Slot-triggered Biasing for Domain Expansion in Neural Transducer ASR Models. - Yiting Lu; Philip Harding; Kanthashree Mysore Sathyendra; Sibo Tong; Xuandi Fu; Jing Liu; Feng-Ju Chang; Simon Wiesler; Grant P. Strimel (INTERSPEECH, 2023)