Personal
Welcome to the homepage of David Rybach
Currently I am PhD student at the Human Language Technology and Pattern Recognition Group
at the RWTH Aachen University.
The research topics
of the chair are:
- Pattern Recognition
- Human Language Technology
- Image Processing
My personal research interests are automatic speech recognition and sign language recognition. Currently, I maintain the open source version of RASR, the RWTH Aachen University Speech Recognition System.
You can find me in room 6014 of building E2.
Telephone: +49 241 80-21621. E-Mail: rybach@cs.rwth-aachen.de
List of Publications
Full List of Publications
of the chair.
2012
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P. Dreuw, D. Rybach, G. Heigold, and H. Ney. RWTH OCR: A Large Vocabulary Optical Character Recognition System for Arabic Scripts. In Volker Märgner, and Haikal El Abed: Guide to OCR for Arabic Scripts Chp. Part II: Recognition, to appear, Springer, London, UK, June 2012.
ISBN 978-1-4471-4071-9.
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D. Rybach, R. Schlüter, and H. Ney. Silence is Golden: Modeling Non-speech Events in WFST-based Dynamic Network Decoders. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 4205-4208, Kyoto, Japan, March 2012.
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D. Nolden, D. Rybach, R. Schlüter, and H. Ney. Joining Advantages of Word-conditioned and Token-passing Decoding. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 4425-4428, Kyoto, Japan, March 2012.
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B. Hoffmeister, G. Heigold, D. Rybach, R. Schlüter, and H. Ney. WFST Enabled Solutions to ASR Problems: Beyond HMM Decoding . Audio, Speech, and Language Processing, IEEE Transactions on, volume 20, number 2, pages 551-564 , February 2012.
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2011
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D. Rybach, S. Hahn, P. Lehnen, D. Nolden, M. Sundermeyer, Z. Tüske, S. Wiesler, R. Schlüter, and H. Ney. RASR - The RWTH Aachen University Open Source Speech Recognition Toolkit. In IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Hawaii, USA, December 2011.
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S. Hahn, and D. Rybach. Building an Open Vocabulary ASR System using Open Source Software. Interspeech, Florence, Italy, August 2011.
Tutorial M3.
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D. Rybach, R. Schlüter, and H. Ney. A Comparative Analysis of Dynamic Network Decoding. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 5184-5187, Prague, Czech Republic, May 2011.
2010
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D. Rybach, and M. Riley. Direct Construction of Compact Context-Dependency Transducers From Data. In Interspeech, pages 218-221, Makuhari, Japan, September 2010.
(corrected Figure 2). Best Paper Award..
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N. Parihar, R. Schlüter, D. Rybach, and E. A. Hansen. Parallel Lexical-tree Based LVCSR on Multi-core Processors. In Interspeech, pages 1485-1488, Makuhari, Japan, September 2010.
2009
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D. Rybach, C. Gollan, G. Heigold, B. Hoffmeister, J. Lööf, R. Schlüter, and H. Ney. The RWTH Aachen University Open Source Speech Recognition System. In Interspeech, pages 2111-2114, Brighton, UK, September 2009.
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N. Parihar, R. Schlüter, D. Rybach, and E. A. Hansen. Parallel Fast Likelihood Computation for LVCSR using Mixture Decomposition. In Interspeech, pages 3047-3050, Brighton, UK, September 2009.
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G. Heigold, D. Rybach, R. Schlüter, and H. Ney. Investigations on Convex Optimization Using Log-Linear HMMs for Digit String Recognition. In Interspeech, pages 216-219, Brighton, UK, September 2009.
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A. El-Desoky Mousa, C. Gollan, D. Rybach, R. Schlüter, and H. Ney. Investigating the Use of Morphological Decomposition and Diacritization for Improving Arabic LVCSR. In Interspeech, pages 2679-2682, Brighton, UK, September 2009.
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H. Schulz, J. A. R. Fonollosa, and D. Rybach. Transcription of Catalan Broadcast Conversation. In International Conference on Text, Speech and Dialogue (TSD), pages 154-161, Pilsen, Czech Republic, September 2009.
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P. Dreuw, D. Rybach, C. Gollan, and H. Ney. Writer Adaptive Training and Writing Variant Model Refinement for Offline Arabic Handwriting Recognition. In International Conference on Document Analysis and Recognition (ICDAR), pages 21-25, Barcelona, Spain, July 2009.
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D. Rybach, C. Gollan, R. Schlüter, and H. Ney. Audio Segmentation for Speech Recognition using Segment Features. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 4197-4200, Taipei, Taiwan, April 2009.
2008
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R. Schlüter, C. Gollan, S. Hahn, G. Heigold, B. Hoffmeister, J. Lööf, C. Plahl, D. Rybach, and H. Ney. Development of Large Vocabulary ASR Systems for Mandarin and Arabic. In ITG-Fachtagung Sprachkommunikation (Sprachkommunikation), Aachen, Germany, October 2008.
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D. Vergyri, A. Mandal, W. Wang, A. Stolcke, J. Zheng, M. Graciarena, D. Rybach, C. Gollan, R. Schlüter, K. Kirchhoff, A. Faria, and N. Morgan. Development of the SRI/Nightingale Arabic ASR system. In Interspeech, pages 1437-1440, Brisbane, Australia, September 2008.
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P. Dreuw, D. Stein, T. Deselaers, D. Rybach, M. Zahedi, J. Bungeroth, and H. Ney. Spoken Language Processing Techniques for Sign Language Recognition and Translation. Technology and Dissability, volume 20, number 2, pages 121-133, Amsterdam, The Netherlands, June 2008.
2007
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D. Rybach, S. Hahn, C. Gollan, R. Schlüter, and H. Ney. Advances in Arabic Broadcast News Transcription at RWTH. In IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pages 449-454, Kyoto, Japan, December 2007.
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P. Dreuw, D. Rybach, T. Deselaers, M. Zahedi, and H. Ney. Speech Recognition Techniques for a Sign Language Recognition System. In Interspeech, pages 2513-2516, Antwerp, Belgium, August 2007.
ISCA best student paper award Interspeech 2007.
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J. Lööf, C. Gollan, S. Hahn, G. Heigold, B. Hoffmeister, C. Plahl, D. Rybach, R. Schlüter, and H. Ney. The RWTH 2007 TC-STAR Evaluation System for European English and Spanish. In Interspeech, pages 2145-2148, Antwerp, Belgium, August 2007.
2006
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M. Zahedi, P. Dreuw, D. Rybach, T. Deselaers, and H. Ney. Using Geometric Features to Improve Continuous Appearance-based Sign Language Recognition. In British Machine Vision Conference (BMVC), volume 3, pages 1019-1028, Edinburgh, UK, September 2006.
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D. Rybach. Appearance-Based Features for Automatic Continuous Sign Language Recognition. Master Thesis, Aachen, Germany, June 2006.
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M. Zahedi, P. Dreuw, D. Rybach, T. Deselaers, J. Bungeroth, and H. Ney. Continuous Sign Language Recognition - Approaches from Speech Recognition and Available Data Resources. In LREC Workshop on the Representation and Processing of Sign Languages: Lexicographic Matters and Didactic Scenarios, pages 21-24, Genoa, Italy, May 2006.
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P. Dreuw, T. Deselaers, D. Rybach, D. Keysers, and H. Ney. Tracking Using Dynamic Programming for Appearance-Based Sign Language Recognition. In IEEE International Conference on Automatic Face and Gesture Recognition (FG), IEEE, pages 293-298, Southampton, UK, April 2006.
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2005
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T. Deselaers, D. Rybach, P. Dreuw, D. Keysers, and H. Ney. Face-based Image Retrieval - One Step Toward Object-based Image Retrieval. In MUSCLE / ImageCLEF Workshop on Image and Video Retrieval Evaluation, pages 25-32, Vienna, Austria, September 2005.
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D. Rybach, D. Keysers, and H. Ney. Erweiterung eines holistischen statistischen Bilderkenners zur Verwendung von mehreren Merkmalen. In Informatiktage der Gesellschaft für Informatik, pages inpress, St. Augustin, Germany, April 2005.