Erweiterung eines holistischen statistischen Bilderkenners zur Verwendung von mehreren Merkmalen. - David Rybach; Daniel Keysers; Hermann Ney (Informatiktage, 2005)

Geometric Features for Improving Continuous Appearance-based Sign Language Recognition. - Morteza Zahedi; Philippe Dreuw; David Rybach; Thomas Deselaers; Hermann Ney (BMVC, 2006)

Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition. - Philippe Dreuw; Thomas Deselaers; David Rybach; Daniel Keysers; Hermann Ney (FGR, 2006)

Advances in Arabic broadcast news transcription at RWTH. - David Rybach; Stefan Hahn; Christian Gollan; Ralf Schlüter; Hermann Ney (ASRU, 2007)

Speech recognition techniques for a sign language recognition system. - Philippe Dreuw; David Rybach; Thomas Deselaers; Morteza Zahedi; 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)

Development of the SRI/nightingale Arabic ASR system. - Dimitra Vergyri; Arindam Mandal; Wen Wang 001; Andreas Stolcke; Jing Zheng 001; Martin Graciarena; David Rybach; Christian Gollan; Ralf Schlüter; Katrin Kirchhoff; Arlo Faria; Nelson Morgan (INTERSPEECH, 2008)

Audio segmentation for speech recognition using segment features. - David Rybach; Christian Gollan; Ralf Schlüter; Hermann Ney (ICASSP, 2009)

Writer Adaptive Training and Writing Variant Model Refinement for Offline Arabic Handwriting Recognition. - Philippe Dreuw; David Rybach; Christian Gollan; Hermann Ney (ICDAR, 2009)

Investigating the use of morphological decomposition and diacritization for improving Arabic LVCSR. - Amr El-Desoky; Christian Gollan; David Rybach; Ralf Schlüter; 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)

Parallel fast likelihood computation for LVCSR using mixture decomposition. - Naveen Parihar; Ralf Schlüter; David Rybach; Eric A. Hansen (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)

Transcription of Catalan Broadcast Conversation. - Henrik Schulz 002; José A. R. Fonollosa; David Rybach (TSD, 2009)

Parallel lexical-tree based LVCSR on multi-core processors. - Naveen Parihar; Ralf Schlüter; David Rybach; Eric A. Hansen (INTERSPEECH, 2010)

Direct construction of compact context-dependency transducers from data. - David Rybach; Michael Riley 001 (INTERSPEECH, 2010)

A comparative analysis of dynamic network decoding. - David Rybach; Ralf Schlüter; Hermann Ney (ICASSP, 2011)

Joining advantages of word-conditioned and token-passing decoding. - David Nolden; David Rybach; Ralf Schlüter; Hermann Ney (ICASSP, 2012)

Silence is golden: Modeling non-speech events in WFST-based dynamic network decoders. - David Rybach; Ralf Schlüter; Hermann Ney (ICASSP, 2012)

Hierarchical hybrid language models for open vocabulary continuous speech recognition using WFST. - M. Ali Basha Shaik; David Rybach; Stefan Hahn; Ralf Schlüter; Hermann Ney (SAPA@INTERSPEECH, 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)

Open vocabulary handwriting recognition using combined word-level and character-level language models. - Michal Kozielski; David Rybach; Stefan Hahn; Ralf Schlüter; Hermann Ney (ICASSP, 2013)

Lexical Prefix Tree and WFST: A Comparison of Two Dynamic Search Concepts for LVCSR. - David Rybach; Hermann Ney; Ralf Schlüter (IEEE Trans. Speech Audio Process., 2013)

Context dependent state tying for speech recognition using deep neural network acoustic models. - Michiel Bacchiani; David Rybach (ICASSP, 2014)

Direct construction of compact context-dependency transducers from data. - David Rybach; Michael Riley 001; Chris Alberti (Comput. Speech Lang., 2014)

Investigations on search methods for speech recognition using weighted finite-state transducers. - David Rybach (2014)

Multitask learning and system combination for automatic speech recognition. - Olivier Siohan; David Rybach (ASRU, 2015)

Bringing contextual information to google speech recognition. - Petar S. Aleksic; Mohammadreza Ghodsi; Assaf Hurwitz Michaely; Cyril Allauzen; Keith B. Hall; Brian Roark; David Rybach; Pedro J. Moreno 001 (INTERSPEECH, 2015)

Composition-based on-the-fly rescoring for salient n-gram biasing. - Keith B. Hall; Eunjoon Cho; Cyril Allauzen; Françoise Beaufays; Noah Coccaro; Kaisuke Nakajima; Michael Riley 001; Brian Roark; David Rybach; Linda Zhang 004 (INTERSPEECH, 2015)

Personalized speech recognition on mobile devices. - Ian McGraw; Rohit Prabhavalkar; Raziel Alvarez; Montse Gonzalez Arenas; Kanishka Rao; David Rybach; Ouais Alsharif; Hasim Sak; Alexander Gruenstein; Françoise Beaufays; Carolina Parada (ICASSP, 2016)

On lattice generation for large vocabulary speech recognition. - David Rybach; Michael Riley 001; Johan Schalkwyk (ASRU, 2017)

Transliterated Mobile Keyboard Input via Weighted Finite-State Transducers. - Lars Hellsten; Brian Roark; Prasoon Goyal; Cyril Allauzen; Françoise Beaufays; Tom Ouyang; Michael Riley 001; David Rybach (FSMNLP, 2017)

Mobile Keyboard Input Decoding with Finite-State Transducers. - Tom Ouyang; David Rybach; Françoise Beaufays; Michael Riley 001 (CoRR, 2017)

No Need for a Lexicon? Evaluating the Value of the Pronunciation Lexica in End-to-End Models. - Tara N. Sainath; Rohit Prabhavalkar; Shankar Kumar; Seungji Lee; Anjuli Kannan; David Rybach; Vlad Schogol; Patrick Nguyen; Bo Li 028; Yonghui Wu; Zhifeng Chen; Chung-Cheng Chiu (ICASSP, 2018)

Contextual Speech Recognition in End-to-end Neural Network Systems Using Beam Search. - Ian Williams; Anjuli Kannan; Petar S. Aleksic; David Rybach; Tara N. Sainath (INTERSPEECH, 2018)

Recognizing Long-Form Speech Using Streaming End-to-End Models. - Arun Narayanan; Rohit Prabhavalkar; Chung-Cheng Chiu; David Rybach; Tara N. Sainath; Trevor Strohman (ASRU, 2019)

Streaming End-to-end Speech Recognition for Mobile Devices. - Yanzhang He; Tara N. Sainath; Rohit Prabhavalkar; Ian McGraw; Raziel Alvarez; Ding Zhao; David Rybach; Anjuli Kannan; Yonghui Wu; Ruoming Pang; Qiao Liang 001; Deepti Bhatia; et al. (ICASSP, 2019)

On the Choice of Modeling Unit for Sequence-to-Sequence Speech Recognition. - Kazuki Irie; Rohit Prabhavalkar; Anjuli Kannan; Antoine Bruguier; David Rybach; Patrick Nguyen (INTERSPEECH, 2019)

Two-Pass End-to-End Speech Recognition. - Tara N. Sainath; Ruoming Pang; David Rybach; Yanzhang He; Rohit Prabhavalkar; Wei Li 133; Mirkó Visontai; Qiao Liang 001; Trevor Strohman; Yonghui Wu; Ian McGraw; Chung-Cheng Chiu (INTERSPEECH, 2019)

Shallow-Fusion End-to-End Contextual Biasing. - Ding Zhao; Tara N. Sainath; David Rybach; Pat Rondon; Deepti Bhatia; Bo Li 028; Ruoming Pang (INTERSPEECH, 2019)

Model Unit Exploration for Sequence-to-Sequence Speech Recognition. - Kazuki Irie; Rohit Prabhavalkar; Anjuli Kannan; Antoine Bruguier; David Rybach; Patrick Nguyen (CoRR, 2019)

Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. - Jonathan Shen; Patrick Nguyen; Yonghui Wu; Zhifeng Chen; Mia Xu Chen; Ye Jia; Anjuli Kannan; Tara N. Sainath; Yuan Cao 007; Chung-Cheng Chiu; Yanzhang He; Jan Chorowski; et al. (CoRR, 2019)

A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency. - Tara N. Sainath; Yanzhang He; Bo Li 028; Arun Narayanan; Ruoming Pang; Antoine Bruguier; Shuo-Yiin Chang; Wei Li 133; Raziel Alvarez; Zhifeng Chen; Chung-Cheng Chiu; David Garcia; et al. (ICASSP, 2020)

Hybrid Autoregressive Transducer (HAT). - Ehsan Variani; David Rybach; Cyril Allauzen; Michael Riley 001 (ICASSP, 2020)

Low Latency Speech Recognition Using End-to-End Prefetching. - Shuo-Yiin Chang; Bo Li 028; David Rybach; Yanzhang He; Wei Li 133; Tara N. Sainath; Trevor Strohman (INTERSPEECH, 2020)

Emitting Word Timings with End-to-End Models. - Tara N. Sainath; Ruoming Pang; David Rybach; Basi García; Trevor Strohman (INTERSPEECH, 2020)

A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency. - Tara N. Sainath; Yanzhang He; Bo Li 028; Arun Narayanan; Ruoming Pang; Antoine Bruguier; Shuo-Yiin Chang; Wei Li 133; Raziel Alvarez; Zhifeng Chen; Chung-Cheng Chiu; David Garcia; et al. (CoRR, 2020)

Less is More: Improved RNN-T Decoding Using Limited Label Context and Path Merging. - Rohit Prabhavalkar; Yanzhang He; David Rybach; Sean Campbell; Arun Narayanan; Trevor Strohman; Tara N. Sainath (ICASSP, 2021)

A Hybrid Seq-2-Seq ASR Design for On-Device and Server Applications. - Cyril Allauzen; Ehsan Variani; Michael Riley 001; David Rybach; Hao Zhang 010 (Interspeech, 2021)

Lookup-Table Recurrent Language Models for Long Tail Speech Recognition. - W. Ronny Huang; Tara N. Sainath; Cal Peyser; Shankar Kumar; David Rybach; Trevor Strohman (Interspeech, 2021)

An Efficient Streaming Non-Recurrent On-Device End-to-End Model with Improvements to Rare-Word Modeling. - Tara N. Sainath; Yanzhang He; Arun Narayanan; Rami Botros; Ruoming Pang; David Rybach; Cyril Allauzen; Ehsan Variani; James Qin; Quoc-Nam Le-The; Shuo-Yiin Chang; Bo Li 028; et al. (Interspeech, 2021)

Improving The Latency And Quality Of Cascaded Encoders. - Tara N. Sainath; Yanzhang He; Arun Narayanan; Rami Botros; Weiran Wang; David Qiu; Chung-Cheng Chiu; Rohit Prabhavalkar; Alexander Gruenstein; Anmol Gulati; Bo Li 028; David Rybach; et al. (ICASSP, 2022)

E2E Segmenter: Joint Segmenting and Decoding for Long-Form ASR. - W. Ronny Huang; Shuo-Yiin Chang; David Rybach; Tara N. Sainath; Rohit Prabhavalkar; Cal Peyser; Zhiyun Lu; Cyril Allauzen (INTERSPEECH, 2022)

On Adaptive Weight Interpolation of the Hybrid Autoregressive Transducer. - Ehsan Variani; Michael Riley 001; David Rybach; Cyril Allauzen; Tongzhou Chen; Bhuvana Ramabhadran (INTERSPEECH, 2022)

Improving Rare Word Recognition with LM-aware MWER Training. - Weiran Wang; Tongzhou Chen; Tara N. Sainath; Ehsan Variani; Rohit Prabhavalkar; W. Ronny Huang; Bhuvana Ramabhadran; Neeraj Gaur; Sepand Mavandadi; Cal Peyser; Trevor Strohman; Yanzhang He; et al. (INTERSPEECH, 2022)

Global Normalization for Streaming Speech Recognition in a Modular Framework. - Ehsan Variani; Ke Wu; Michael D. Riley; David Rybach; Matt Shannon; Cyril Allauzen (NeurIPS, 2022)

Handling Compounding in Mobile Keyboard Input. - Andreas Kabel; Keith B. Hall; Tom Ouyang; David Rybach; Daan van Esch; Françoise Beaufays (CoRR, 2022)

Large-Scale Language Model Rescoring on Long-Form Data. - Tongzhou Chen; Cyril Allauzen; Yinghui Huang; Daniel S. Park; David Rybach; W. Ronny Huang; Rodrigo Cabrera; Kartik Audhkhasi; Bhuvana Ramabhadran; Pedro J. Moreno 001; Michael Riley 001 (ICASSP, 2023)

E2E Segmentation in a Two-Pass Cascaded Encoder ASR Model. - W. Ronny Huang; Shuo-Yiin Chang; Tara N. Sainath; Yanzhang He; David Rybach; Robert David; Rohit Prabhavalkar; Cyril Allauzen; Cal Peyser; Trevor D. Strohman (ICASSP, 2023)

Alignment Entropy Regularization. - Ehsan Variani; Ke Wu; David Rybach; Cyril Allauzen; Michael Riley 001 (ICASSP, 2023)

Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks. - Weiran Wang; Ding Zhao; Shaojin Ding; Hao Zhang 010; Shuo-Yiin Chang; David Rybach; Tara N. Sainath; Yanzhang He; Ian McGraw; Shankar Kumar (ICASSP, 2023)