Publications of Ralf Schlüter (inverse chronological order)

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2012

• 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.
  
• A. El-Desoky Mousa, R. Schlüter, and H. Ney. Investigations on the Use of Morpheme Level Features In Language Models for Arabic LVCSR. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 5021-5024, Kyoto, Japan, March 2012.
  
• Y. Kubo, S. Watanabe, A. Nakamura, S. Wiesler, R. Schlüter, and H. Ney. Basis Vector Orthogonalization for an Improved Kernel Gradient Matching Pursuit Method. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 1909-1912, Kyoto, Japan, March 2012.
  
• Z. Tüske, R. Schlüter, and H. Ney. Comparison and combination of different CRBE based MLP features for LVCSR. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 4081-4084, Kyoto, Japan, March 2012.
  
• 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.
  
• D. Nolden, R. Schlüter, and H. Ney. Extended Search Space Pruning in LVCSR. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 4429-4432, Kyoto, Japan, March 2012.
  
• R. Schlüter, M. Nußbaum-Thom, and H. Ney. Does the Cost Function Matter in Bayes Decision Rule?. IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 34, number 2, pages 292-301, February 2012.
  
• 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

• S. Wiesler, R. Schlüter, and H. Ney. A Convergence Analysis of Log-Linear Training and its Application to Speech Recognition. In IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Hawaii, USA, December 2011.
  
• 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.
  
• C. Plahl, R. Schlüter, and H. Ney. Cross-lingual Portability of Chinese and English Neural Network Features for French and German LVCSR. In IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pages 371-376, Hawaii, USA, December 2011.
  
• M. A. Tahir, R. Schlüter, and H. Ney. Discriminative Splitting of Gaussian/Log-Linear Mixture HMMs for Speech Recognition. In IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Hawaii, USA, December 2011.
  
• L. Lamel, S. Courcinous, J. Despres, J. Gauvain, Y. Josse, K. Kilgour, F. Kraft, V. B. Le, H. Ney, M. Nußbaum-Thom, I. Oparin, T. Schlippe, R. Schlüter, T. Schultz, T. Fraga da Silva, S. Stüker, M. Sundermeyer, B. Vieru, N. T. Vu, A. Waibel, and C. Woehrling. Speech Recognition for Machine Translation in Quaero . In International Workshop on Spoken Language Translation (IWSLT), pages 121-128, San Francisco, California, USA, December 2011.
  
• M. Sundermeyer, R. Schlüter, and H. Ney. On the Estimation of Discount Parameters for Language Model Smoothing. In Interspeech, pages 1433-1436, Florence, Italy, August 2011.
  
• M. Nußbaum-Thom, A. El-Desoky Mousa, R. Schlüter, and H. Ney. Compound Word Recombination for German LVCSR. In Interspeech, Florence, Italy, August 2011.
  
• Z. Tüske, C. Plahl, and R. Schlüter. A study on speaker normalized MLP features in LVCSR. In Interspeech, pages 1089-1092, Florence, Italy, August 2011.
  
• C. Plahl, R. Schlüter, and H. Ney. Improved Acoustic Feature Combination for LVCSR by Neural Networks. In Interspeech, pages 1237-1240, Florence, Italy, August 2011.
  
• M. A. Tahir, R. Schlüter, and H. Ney. Log-linear Optimization of Second-order Polynomial Features with Subsequent Dimension Reduction for Speech Recognition. In Interspeech, Florence, Italy, August 2011.
  
• M. A. Basha Shaik, A. El-Desoky Mousa, R. Schlüter, and H. Ney. Hybrid Language Models Using Mixed Types of Sub-lexical Units for Open Vocabulary German LVCSR. In Interspeech, pages 1441-1444, Florence, Italy, August 2011.
  
• A. El-Desoky Mousa, M. A. Basha Shaik, R. Schlüter, and H. Ney. Morpheme Based Factored Language Models for German LVCSR. In Interspeech, pages 1445-1448, Florence, Italy, August 2011.
  
• D. Nolden, R. Schlüter, and H. Ney. Acoustic Look-Ahead for More Efficient Decoding in LVCSR. In Interspeech, pages 893-896, Florence, Italy, August 2011.
  
• R. Schlüter, M. Nußbaum-Thom, and H. Ney. On the Relationship between Bayes Risk and Word Error Rate in ASR. IEEE Transactions on Audio, Speech, and Language Processing, volume 19, number 5, pages 1103-1112, July 2011.
  
• G. Heigold, H. Ney, P. Lehnen, T. Gass, and R. Schlüter. Equivalence of Generative and Log-Linear Models. IEEE Transactions on Audio, Speech, and Language Processing, volume 19, number 5, pages 1138-1148, July 2011.
  
• S. Wiesler, A. Richard, Y. Kubo, R. Schlüter, and H. Ney. Feature Selection for Log-linear Acoustic Models. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 2011.
  
• M. A. Basha Shaik, A. El-Desoky Mousa, R. Schlüter, and H. Ney. Using Morpheme and Syllable Based Sub-words for Polish LVCSR. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 2011.
  
• 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.
  
• M. Sundermeyer, M. Nußbaum-Thom, S. Wiesler, C. Plahl, A. El-Desoky Mousa, S. Hahn, D. Nolden, R. Schlüter, and H. Ney. The RWTH 2010 Quaero ASR Evaluation System for English, French, and German. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 2212-2215, Prague, Czech Republic, May 2011.
  
• Z. Tüske, P. Golik, R. Schlüter, and F. R. Drepper. Non-stationary feature extraction for automatic speech recognition. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 5204-5207, Prague, Czech Republic, May 2011.
  
• Y. Kubo, S. Wiesler, R. Schlüter, H. Ney, S. Watanabe, A. Nakamura, and T. Kobayashi. Subspace Pursuit Method for Kernel-log-linear Models. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Prague, Czech Republic, May 2011.
  
• D. Nolden, H. Ney, and R. Schlüter. Exploiting Sparseness of Backing-Off Language Models for Efficient Look-Ahead in LVCSR. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 4684-4687, Prague, Czech Republic, May 2011.
  

2010

• G. Heigold, P. Dreuw, S. Hahn, R. Schlüter, and H. Ney. Margin-Based Discriminative Training for String Recognition. IEEE Journal of Selected Topics in Signal Processing - Statistical Learning Methods for Speech and Language Processing, volume 4, number 6, pages 917-925, Aachen, Germany, December 2010.
  
• A. El-Desoky Mousa, M. A. Basha Shaik, R. Schlüter, and H. Ney. Sub-lexical Language Models for German LVCSR. IEEE workshop on spoken language technology, pages 159-164, Berkeley, CA, USA, December 2010.
  
• J. Loof, D. Falavigna, R. Schlüter, R. Gretter, D. Giuliani, and H. Ney. Evaluation of Automatic Transcription Systems for the Judicial Domain. In IEEE Workshop on Spoken Language Technology (SLT) (SLT), pages 194-199, Berkeley, CA, December 2010.
  
• R. Schlüter, M. Nußbaum-Thom, and H. Ney. Simulation of Fixed Length Word String Probability Distributions. Internal Report, Lehrstuhl für Informatik 6, RWTH Aachen University, December 2010. Corrected version (April 19, 2012).
  
• 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.
  
• C. Plahl, R. Schlüter, and H. Ney. Hierarchical Bottle Neck Features for LVCSR. In Interspeech, pages 1197-1200, Makuhari, Japan, September 2010.
  
• S. Wiesler, G. Heigold, M. Nußbaum-Thom, R. Schlüter, and H. Ney. A Discriminative Splitting Criterion for Phonetic Decision Trees . In Interspeech, Makuhari, Japan, September 2010.
  
• M. Nußbaum-Thom, S. Wiesler, M. Sundermeyer, C. Plahl, S. Hahn, R. Schlüter, and H. Ney. The RWTH 2009 Quaero ASR Evaluation System for English and German. In Interspeech, Makuhari, Japan, September 2010.
  
• J. Lööf, R. Schlüter, and H. Ney. Discriminative Adaptation for Log-linear Acoustic Models. In Interspeech, pages 1648-1651, Makuhari, Japan, September 2010.
  
• R. Schlüter, M. Nußbaum-Thom, and H. Ney. On the Relation of Bayes Risk, Word Error, and Word Posteriors in ASR. In Interspeech, pages 230-233, Makuhari, Japan, September 2010.
  
• D. R. Sanand, R. Schlüter, and H. Ney. Revisiting VTLN Using Linear Transformation on Conventional MFCC. In Interspeech, pages 538-541, Makuhari, Japan, September 2010.
  
• D. Nolden, H. Ney, and R. Schlüter. Time Conditioned Search in Automatic Speech Recognition Reconsidered. In Interspeech, Makuhari, Japan, September 2010.
  
• A. El-Desoky Mousa, R. Schlüter, and H. Ney. A Hybrid Morphologically Decomposed Factored Language Models for Arabic LVCSR. In Proceedings of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies conference (NAACL HLT), pages 701-704, Los Angeles, California, USA, June 2010.
  
• G. Heigold, S. Wiesler, M. Nussbaum, P. Lehnen, R. Schlüter, and H. Ney. Discriminative HMMs, Log-Linear Models, and CRFs: What is the Difference?. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 5546-5549, Dallas, Texas, USA, March 2010.
  

2009

• M. A. Tahir, G. Heigold, C. Plahl, R. Schlüter, and H. Ney. Log-Linear Framework for Linear Feature Transformations in Speech Recognition. In IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Merano, Italy, December 2009.
  
• S. Wiesler, M. Nußbaum, G. Heigold, R. Schlüter, and H. Ney. Investigations on Features for Log-Linear Acoustic Models in Continuous Speech Recognition. In IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Merano, Italy, December 2009.
  
• 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.
  
• 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.
  
• 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.
  
• B. Hoffmeister, R. Liang, R. Schlüter, and H. Ney. Log-linear Model Combination with Word-dependent Scaling Factors. In Interspeech, pages 248-251, Brighton, UK, September 2009.
  
• B. Hoffmeister, R. Schlüter, and H. Ney. Bayes Risk Approximations Using Time Overlap with an Application to System Combination. In Interspeech, pages 1191-1194, Brighton, UK, September 2009.
  
• 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.
  
• C. Plahl, B. Hoffmeister, G. Heigold, J. Lööf, R. Schlüter, and H. Ney. Development of the GALE 2008 Mandarin LVCSR System. In Interspeech, pages 2107-2110, Brighton, UK, September 2009.
  
• D. Falavigna, D. Giuliani, R. Gretter, J. Lööf, C. Gollan, R. Schlüter, and H. Ney. Automatic Transcription of Courtroom Recordings in the JUMAS project. In 2nd International Conference on ICT Solutions for Justice (ICT4Justice), Skopje, Macedonia, September 2009.
  
• 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.
  
• G. Heigold, R. Schlüter, and H. Ney. Modified MPE/MMI in a Transducer-Based Framework. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 3749-3752, Taipei, Taiwan, April 2009.
  

2008

• F. R. Drepper, and R. Schlüter. Non-Stationary, Filter-Stable Acoustic Objects as Atoms of Voiced Speech. In 8. ITG-Fachtagung Sprachkommunikation (ITG 2008), Aachen, Germany, October 2008.
  
• 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.
  
• 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.
  
• G. Heigold, P. Lehnen, R. Schlüter, and H. Ney. On the equivalence of Gaussian and log-linear HMMs. In Interspeech, Brisbane, Australia, September 2008. ISCA best student paper award.
  
• C. Plahl, B. Hoffmeister, M. Hwang, D. Lu, G. Heigold, J. Lööf, R. Schlüter, and H. Ney. Recent Improvements of the RWTH GALE Mandarin LVCSR System. In Interspeech, pages 2426-2429, Brisbane, Australia, September 2008.
  
• B. Hoffmeister, R. Schlüter, and H. Ney. iCNC and iROVER: The Limits of Improving System Combination with Classification?. In Interspeech, pages 232-235, Brisbane, Australia, September 2008.
  
• G. Heigold, T. Deselaers, R. Schlüter, and H. Ney. Modified MMI/MPE: A Direct Evaluation of the Margin in Speech Recognition. In International Conference on Machine Learning (ICML), pages 384-391, Helsinki, Finland, July 2008. A typo from the original publication was corrected (marked in red).
  
• G. Heigold, T. Deselaers, R. Schlüter, and H. Ney. A GIS-like training algorithm for log-linear models with hidden variables. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 4045-4048, Las Vegas, NV, USA, April 2008.
  
• F. R. Drepper, and R. Schlüter. Non-Stationary Acoustic Objects as Atoms of Voiced Speech. In 34. Jahrestagung für Akustik der Deutschen Gesellschaft für Akustik (DAGA), Dresden, Germany, March 2008. [corrected version: Eq. (5)].
  

2007

• 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.
  
• B. Hoffmeister, C. Plahl, P. Fritz, G. Heigold, J. Lööf, R. Schlüter, and H. Ney. Development of the 2007 RWTH Mandarin LVCSR System. In IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), Kyoto, Japan, December 2007.
  
• G. Heigold, R. Schlüter, and H. Ney. On the equivalence of Gaussian HMM and Gaussian HMM-like hidden conditional random fields. In Interspeech, pages 1721-1724, Antwerp, Belgium, August 2007.
  
• 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.
  
• F. Valente, J. Vepa, C. Plahl, C. Gollan, H. Hermansky, and R. Schlüter. Hierarchical Neural Networks Feature Extraction for LVCSR system. In Interspeech, pages 42-45, Antwerp, Belgium, August 2007.
  
• J. Lööf, R. Schlüter, and H. Ney. Efficient Estimation of Speaker-specific Projecting Feature Transforms. In Interspeech, pages 1557-1560, Antwerp, Belgium, August 2007.
  
• C. Gollan, S. Hahn, R. Schlüter, and H. Ney. An Improved Method for Unsupervised Training of LVCSR Systems. In Interspeech, pages 2101-2104, Antwerp, Belgium, August 2007.
  
• A. Zolnay, D. Kocharov, R. Schlüter, and H. Ney. Using multiple acoustic feature sets for speech recognition. Speech Communication, volume 49, number 6, pages 514-525, June 2007.
  
• R. Schlüter, I. Bezrukov, H. Wagner, and H. Ney. Gammatone Features and Feature Combination for Large Vocabulary Speech Recognition. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Honululu, HI, USA, April 2007.
  
• D. Hillard, B. Hoffmeister, M. Ostendorf, R. Schlüter, and H. Ney. iROVER: Improving System Combination with Classification. In Human Language Technologies 2007: The Conference of the North American Chapter of the Association for Computational Linguistics; Companion Volume, Short Papers, pages 65-68, Rochester, New York, April 2007.
  
• B. Hoffmeister, D. Hillard, S. Hahn, R. Schlüter, M. Ostendorf, and H. Ney. CROSS-SITE AND INTRA-SITE ASR SYSTEM COMBINATION: COMPARISONS ON LATTICE AND 1-BEST METHODS. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 1145-1148, Honululu, HI, USA, April 2007.
  

2006

• J. Lööf, M. Bisani, C. Gollan, G. Heigold, B. Hoffmeister, C. Plahl, R. Schlüter, and H. Ney. The 2006 RWTH Parliamentary Speeches Transcription System. In Interspeech, pages 105-108, Pittsburgh, PA, USA, September 2006.
  
• B. Hoffmeister, T. Klein, R. Schlüter, and H. Ney. Frame Based System Combination and a Comparison with Weighted ROVER and CNC. In Interspeech, pages 537-540, Pittsburgh, PA, USA, September 2006.
  
• R. Schlüter, A. Zolnay, and H. Ney. Feature Combination using Linear Discriminant Analysis and its Pitfalls. In International Conference on Spoken Language Processing (ICSLP), pages 345-348, September 2006.
  
• J. Lööf, M. Bisani, C. Gollan, G. Heigold, B. Hoffmeister, C. Plahl, R. Schlüter, and H. Ney. The 2006 RWTH Parliamentary Speeches Transcription System. In TC-STAR Workshop on Speech-to-Speech Translation, pages 133-138, Barcelona, Spain, June 2006.
  

2005

• G. Heigold, W. Macherey, R. Schlüter, and H. Ney. Minimum Exact Word Error Training. In IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pages 186-190, San Juan, Puerto Rico, November 2005.
  
• E. Matusov, H. Ney, and R. Schlüter. Phrase-based Translation of Speech Recognizer Word Lattices Using Loglinear Model Combination. In IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), pages 110-115, San Juan, Puerto Rico, November 2005.
  
• D. Kocharov, A. Zolnay, R. Schlüter, and H. Ney. Articulatory Motivated Acoustic Features for Speech Recognition. In Interspeech, pages 1101-1104, September 2005.
  
• W. Macherey, L. Haferkamp, R. Schlüter, and H. Ney. Investigations on Error Minimizing Training Criteria for Discriminative Training in Automatic Speech Recognition. In Interspeech, pages 2133-2136, September 2005.
  
• R. Schlüter, T. Scharrenbach, V. Steinbiss, and H. Ney. Bayes Risk Minimization using Metric Loss Functions (corrected version, corrections in red). In Interspeech, pages 1449-1452, September 2005.
  
• C. Gollan, M. Bisani, S. Kanthak, R. Schlüter, and H. Ney. Cross Domain Automatic Transcription on the TC-STAR EPPS Corpus. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), volume 1, pages 825-828, Philadelphia, PA, March 2005.
  
• A. Zolnay, R. Schlüter, and H. Ney. Acoustic Feature Combination for Robust Speech Recognition. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), volume 1, pages 457-460, Philadelphia, PA, March 2005.
  

2004

• W. Macherey, R. Schlüter, and H. Ney. Discriminative Training with Tied Covariance Matrices. In Interspeech, volume 1, pages 681-684, Jeju Island, Korea, October 2004.
  

2003

• A. Zolnay, R. Schlüter, and H. Ney. Extraction Methods of Voicing Feature for Robust Speech Recognition. In European Conference on Speech Communication and Technology (EUROSPEECH), volume 1, pages 497-500, Geneva, Switzerland, September 2003.
  

2002

• A. Zolnay, R. Schlüter, and H. Ney. Robust Speech Recognition using a Voiced-Unvoiced Feature. In International Conference on Spoken Language Processing (ICSLP), volume 2, pages 1065-1068, Denver, CO, USA, September 2002.
  

2001

• M. Pitz, S. Molau, R. Schlüter, and H. Ney. Vocal Tract Normalization Equals Linear Transformation in Cepstral Space. In European Conference on Speech Communication and Technology (EUROSPEECH), volume 4, pages 2653-2656, Aalborg, Denmark, September 2001.
  
• R. Schlüter, W. Macherey, B. Müller, and H. Ney. Comparison of Discriminative Training Criteria and Optimization Methods for Speech Recognition. Speech Communication, volume 34, pages 287-310, May 2001. EURASIP Best Paper Award.
  
• F. Wessel, R. Schlüter, and H. Ney. Explicit Word Error Minimization using Word Hypothesis Posterior Probabilities. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 33-36, Salt Lake City, Utah, May 2001.
  
• R. Schlüter, and H. Ney. Using Phase Spectrum Information for Improved Speech Recognition Performance. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 133-136, Salt Lake City, Utah, May 2001.
  
• R. Schlüter, and H. Ney. Model-based MCE Bound to the True Bayes' Error. IEEE Signal Processing Letters, volume 8, number 5, pages 131-133, May 2001.
  
• S. Molau, M. Pitz, R. Schlüter, and H. Ney. Computing Mel-Frequency Cepstral Coefficients On The Power Spectrum. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 73-76, Salt Lake City, Utah, May 2001.
  
• F. Wessel, R. Schlüter, K. Macherey, and H. Ney. Confidence Measures for Large Vocabulary Continuous Speech Recognition. IEEE Transactions on Speech and Audio Processing, volume 9, number 3, pages 288-298, March 2001.
  

2000

• R. Schlüter, F. Wessel, and H. Ney. Speech Recognition using Context Conditional Word Posterior Probabilities. In International Conference on Spoken Language Processing (ICSLP), pages 923-926, Beijing, China, October 2000.
  
• S. Kanthak, S. Molau, A. Sixtus, R. Schlüter, and H. Ney. The RWTH Large Vocabulary Speech Recognition System for Spontaneous Speech. In Proceedings of the Konvens 2000, pages 249-254, Ilmenau, Germany, October 2000.
  
• R. Schlüter. Investigations on Discriminative Training Criteria. PhD Thesis, Aachen, Germany, September 2000.
  
• S. Kanthak, A. Sixtus, S. Molau, R. Schlüter, and H. Ney. Fast Search for Large Vocabulary Speech Recognition. In Wolfgang Wahlster: Verbmobil: Foundations of Speech-to-Speech Translation Chp. "From Speech Input to Augmented Word Lattices", pages 63-78, Springer Verlag, Berlin, Heidelberg, New York, July 2000.
  
• A. Sixtus, S. Molau, S. Kanthak, R. Schlüter, and H. Ney. Recent Improvements of the RWTH Large Vocabulary Speech Recognition System on Spontaneous Speech. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 1671-1674, Istanbul, Turkey, June 2000.
  
• F. Wessel, R. Schlüter, and H. Ney. Using Posterior Word Probabilities for Improved Speech Recognition. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 1587-1590, Istanbul, Turkey, June 2000.
  

1999

• R. Schlüter, B. Müller, F. Wessel, and H. Ney. Interdependence of Language Models and Discriminative Training. In IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), volume 1, pages 119-122, Keystone, CO, December 1999.
  
• J. Dahmen, R. Schlüter, and H. Ney. Discriminative Training of Gaussian Mixture Densities for Image Object Recognition. In Deutsche Arbeitsgemeinschaft für Mustererkennung Symposium (DAGM), Informatik aktuell, pages 205-212, Bonn, Germany, September 1999.
  
• R. Schlüter, W. Macherey, B. Müller, and H. Ney. A Combined Maximum Mutual Information and Maximum Likelihood Approach for Mixture Density Splitting. In European Conference on Speech Communication and Technology (EUROSPEECH), volume 4, pages 1715-1718, Budapest, Hungary, September 1999.
  
• M. Pitz, S. Molau, R. Schlüter, and H. Ney. Automatic Transcription Verification of Broadcast News and Similar Speech Corpora. In Proc. 1999 DARPA Broadcast News Workshop, pages 157-159, Herndon, VA, USA, February 1999.
  

1998

• F. Wessel, K. Macherey, and R. Schlüter. Using Word Probabilities as Confidence Measures. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 225-228, Seattle, WA, USA, May 1998.
  
• R. Schlüter, and W. Macherey. Comparison of discriminative training criteria. In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pages 493-496, Seattle, WA, USA, May 1998.
  

1997

• R. Schlüter, W. Macherey, S. Kanthak, H. Ney, and L. Welling. Comparison of optimization methods for discriminative training criteria. In European Conference on Speech Communication and Technology (EUROSPEECH), volume 1, pages 15-18, Rhodes, Greece, September 1997.
  
• R. Schlüter, H. Ney, and L. Welling. Diskriminatives Training für Spracherkennung bei kleinem Wortschatz. In Proc. 9. Kolloquium Signaltheorie, volume 9, pages 297-300, Aachen, Germany, March 1997.