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Simon Wiesler
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2020 – today
- 2023
- [c32]Sibo Tong, Philip Harding, Simon Wiesler:
Hierarchical Attention-Based Contextual Biasing For Personalized Speech Recognition Using Neural Transducers. ASRU 2023: 1-8 - [c31]Sibo Tong, Philip Harding, Simon Wiesler:
Slot-Triggered Contextual Biasing For Personalized Speech Recognition Using Neural Transducers. ICASSP 2023: 1-5 - [c30]Philip Harding, Sibo Tong, Simon Wiesler:
Selective Biasing with Trie-based Contextual Adapters for Personalised Speech Recognition using Neural Transducers. INTERSPEECH 2023: 256-260 - [c29]Yiting Lu, Philip Harding, Kanthashree Mysore Sathyendra, Sibo Tong, Xuandi Fu, Jing Liu, Feng-Ju Chang, Simon Wiesler, Grant P. Strimel:
Model-Internal Slot-triggered Biasing for Domain Expansion in Neural Transducer ASR Models. INTERSPEECH 2023: 1324-1328 - [c28]Belen Alastruey, Lukas Drude, Jahn Heymann, Simon Wiesler:
Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition. INTERSPEECH 2023: 4973-4977 - [i5]Belen Alastruey, Lukas Drude, Jahn Heymann, Simon Wiesler:
Multi-View Frequency-Attention Alternative to CNN Frontends for Automatic Speech Recognition. CoRR abs/2306.06954 (2023) - 2022
- [c27]Alejandro Gomez-Alanis, Lukas Drude, Andreas Schwarz, Rupak Vignesh Swaminathan, Simon Wiesler:
Contextual-Utterance Training for Automatic Speech Recognition. IberSPEECH 2022: 26-30 - [i4]Alejandro Gómez Alanís, Lukas Drude, Andreas Schwarz, Rupak Vignesh Swaminathan, Simon Wiesler:
Contextual-Utterance Training for Automatic Speech Recognition. CoRR abs/2210.16238 (2022) - 2021
- [c26]Andreas Schwarz, Ilya Sklyar, Simon Wiesler:
Improving RNN-T ASR Accuracy Using Context Audio. Interspeech 2021: 1792-1796 - 2020
- [c25]Egor Lakomkin, Jahn Heymann, Ilya Sklyar, Simon Wiesler:
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition. INTERSPEECH 2020: 3600-3604 - [c24]Prabhat Pandey, Volker Leutnant, Simon Wiesler, Jahn Heymann, Daniel Willett:
Improving Speech Recognition of Compound-Rich Languages. INTERSPEECH 2020: 4936-4940 - [i3]Egor Lakomkin, Jahn Heymann, Ilya Sklyar, Simon Wiesler:
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition. CoRR abs/2008.04034 (2020) - [i2]Andreas Schwarz, Ilya Sklyar, Simon Wiesler:
Improving RNN-T ASR Accuracy Using Untranscribed Context Audio. CoRR abs/2011.10538 (2020)
2010 – 2019
- 2017
- [b1]Simon Wiesler:
Optimization of discriminative models for speech and handwriting recognition. RWTH Aachen University, Germany, 2017 - 2016
- [i1]Yotaro Kubo, George Tucker, Simon Wiesler:
Compacting Neural Network Classifiers via Dropout Training. CoRR abs/1611.06148 (2016) - 2015
- [c23]Paul Voigtlaender, Patrick Doetsch, Simon Wiesler, Ralf Schlüter, Hermann Ney:
Sequence-discriminative training of recurrent neural networks. ICASSP 2015: 2100-2104 - [c22]Simon Wiesler, Pavel Golik, Ralf Schlüter, Hermann Ney:
Investigations on sequence training of neural networks. ICASSP 2015: 4565-4569 - [c21]Muhammad Ali Tahir, Simon Wiesler, Ralf Schlüter, Hermann Ney:
Investigation of mixture splitting concept for training linear bottlenecks of deep neural network acoustic models. ICASSP 2015: 4614-4618 - 2014
- [c20]Simon Wiesler, Alexander Richard, Ralf Schlüter, Hermann Ney:
Mean-normalized stochastic gradient for large-scale deep learning. ICASSP 2014: 180-184 - [c19]Simon Wiesler, Alexander Richard, Pavel Golik, Ralf Schlüter, Hermann Ney:
RASR/NN: The RWTH neural network toolkit for speech recognition. ICASSP 2014: 3281-3285 - [c18]Simon Wiesler, Kazuki Irie, Zoltán Tüske, Ralf Schlüter, Hermann Ney:
The RWTH English lecture recognition system. ICASSP 2014: 3286-3290 - 2013
- [c17]Simon Wiesler, Alexander Richard, Ralf Schlüter, Hermann Ney:
A critical evaluation of stochastic algorithms for convex optimization. ICASSP 2013: 6955-6959 - [c16]Stefan Hahn, Patrick Lehnen, Simon Wiesler, Ralf Schlüter, Hermann Ney:
Improving LVCSR with hidden conditional random fields for grapheme-to-phoneme conversion. INTERSPEECH 2013: 495-499 - [c15]Simon Wiesler, Jinyu Li, Jian Xue:
Investigations on hessian-free optimization for cross-entropy training of deep neural networks. INTERSPEECH 2013: 3317-3321 - [c14]M. Ali Basha Shaik, Zoltán Tüske, Simon Wiesler, Markus Nußbaum-Thom, Stephan Peitz, Ralf Schlüter, Hermann Ney:
The RWTH Aachen German and English LVCSR systems for IWSLT-2013. IWSLT (Evaluation Campaign) 2013 - 2012
- [j1]Georg Heigold, Hermann Ney, Ralf Schlüter, Simon Wiesler:
Discriminative Training for Automatic Speech Recognition: Modeling, Criteria, Optimization, Implementation, and Performance. IEEE Signal Process. Mag. 29(6): 58-69 (2012) - [c13]Yotaro Kubo, Shinji Watanabe, Atsushi Nakamura, Simon Wiesler, Ralf Schlüter, Hermann Ney:
Basis vector orthogonalization for an improved kernel gradient matching pursuit method. ICASSP 2012: 1909-1912 - [c12]Simon Wiesler, Ralf Schlüter, Hermann Ney:
Accelerated Batch Learning of Convex Log-linear Models for LVCSR. INTERSPEECH 2012: 1207-1210 - [c11]Stephan Peitz, Simon Wiesler, Markus Nußbaum-Thom, Hermann Ney:
Spoken language translation using automatically transcribed text in training. IWSLT 2012: 276-283 - 2011
- [c10]Simon Wiesler, Ralf Schlüter, Hermann Ney:
A convergence analysis of log-linear training and its application to speech recognition. ASRU 2011: 1-6 - [c9]Martin Sundermeyer, Markus Nußbaum-Thom, Simon Wiesler, Christian Plahl, Amr El-Desoky Mousa, Stefan Hahn, David Nolden, Ralf Schlüter, Hermann Ney:
The RWTH 2010 Quaero ASR evaluation system for English, French, and German. ICASSP 2011: 2212-2215 - [c8]Yotaro Kubo, Simon Wiesler, Ralf Schlüter, Hermann Ney, Shinji Watanabe, Atsushi Nakamura, Tetsunori Kobayashi:
Subspace pursuit method for kernel-log-linear models. ICASSP 2011: 4500-4503 - [c7]Simon Wiesler, Alexander Richard, Yotaro Kubo, Ralf Schlüter, Hermann Ney:
Feature selection for log-linear acoustic models. ICASSP 2011: 5324-5327 - [c6]Matthias Huck, Saab Mansour, Simon Wiesler, Hermann Ney:
Lexicon models for hierarchical phrase-based machine translation. IWSLT 2011: 191-198 - [c5]Simon Wiesler, Hermann Ney:
A Convergence Analysis of Log-Linear Training. NIPS 2011: 657-665 - 2010
- [c4]Georg Heigold, Simon Wiesler, Markus Nußbaum-Thom, Patrick Lehnen, Ralf Schlüter, Hermann Ney:
Discriminative HMMS, log-linear models, and CRFS: What is the difference? ICASSP 2010: 5546-5549 - [c3]Simon Wiesler, Georg Heigold, Markus Nußbaum-Thom, Ralf Schlüter, Hermann Ney:
A discriminative splitting criterion for phonetic decision trees. INTERSPEECH 2010: 54-57 - [c2]Markus Nußbaum-Thom, Simon Wiesler, Martin Sundermeyer, Christian Plahl, Stefan Hahn, Ralf Schlüter, Hermann Ney:
The RWTH 2009 quaero ASR evaluation system for English and German. INTERSPEECH 2010: 1517-1520
2000 – 2009
- 2009
- [c1]Simon Wiesler, Markus Nußbaum-Thom, Georg Heigold, Ralf Schlüter, Hermann Ney:
Investigations on features for log-linear acoustic models in continuous speech recognition. ASRU 2009: 52-57
Coauthor Index
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