Jeff A. Bilmes's Publications

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• 2009 • 2008 • 2007 • 2006 • 2005 • 2004 • 2003 • 2002 • 2001 • 2000 • 1999 • 1998 • 1997 • 1996 • 1993 • 1992 • 1991 • 1989 •

2009

• Amar Subramanya and Jeff A. Bilmes. Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification. In Neural Information Processing Society (NIPS), Vancouver, Canada, December 2009.
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• Andrew Guillory and Jeff Bilmes. Label Selection on Graphs. In Neural Information Processing Society (NIPS), Vancouver, Canada, December 2009.
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• Yoshinobu Kawahara, Kiyohito Nagano, Koji Tsuda, and Jeff Bilmes. Submodularity Cuts and Applications. In Neural Information Processing Society (NIPS), Vancouver, Canada, December 2009.
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• Hui Lin, Jeff Bilmes, and Shasha Xie. Graph-based Submodular Selection for Extractive Summarization. In Proc. IEEE Automatic Speech Recognition and Understanding (ASRU), Merano, Italy, December 2009.
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• Jonathan Malkin, Amar Subramanya, and Jeff A. Bilmes. On the Semi-Supervised Learning of Multi-Layered Perceptrons. In Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Brighton, UK, September 2009.
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• Hui Lin and Jeff A. Bilmes. How to Select a Good Training-data Subset for Transcription: Submodular Active Selection for Sequences. In Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Brighton, UK, September 2009.
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• Amar Subramanya and Jeff A. Bilmes. The Semi-Supervised Switchboard Transcription Project. In Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Brighton, UK, September 2009.
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• Hui Lin, Koby Crammer, and Jeff Bilmes. How to Lose Confidence: Probabilistic Linear Machines for Multiclass Classification. In Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Brighton, UK, September 2009.
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• Andrew Guillory and Jeff Bilmes. Average-Case Active Learning with Costs. In The 20th International Conference on Algorithmic Learning Theory, University of Porto, Portugal, October 2009.
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• Jonathan Malkin, Amar Subramanya, and Jeff A. Bilmes. On the Semi-Supervised Learning of Multi-Layered Perceptrons. Technical Report UWEETR-2009-0003, University of Washington, Dept. of EE, 2009.
  https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2009-0003.html
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• Andrew Guillory and Jeff Bilmes. Average-Case Active Learning with Costs. Technical Report UWEETR-2009-0005, University of Washington, Dept. of EE, 2009.
  https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2009-0005.html
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• Mausam, Stephen Soderland, Oren Etzioni, Daniel S. Weld, Michael Skinner, and Jeff A. Bilmes. Compiling a Massive, Multilingual Dictionary via Probabilistic Inference. In Joint Conference of the Annual Meeting of the Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP), Suntec, Singapore, August 2009.
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• Andrew Guillory, Erick Chastain, and Jeff Bilmes. Active Learning as Non-Convex Optimization. In Twelfth International Conference on Artificial Intelligence and Statistics (AISTAT), Clearwater Beach, Florida, April 2009.
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• Hui Lin, Alex Stupakov, and Jeff Bilmes. Improving Multi-Lattice-Alignment Based Spoken Keyword Spotting. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Taipei, Taiwan, 2009.
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• Jon Malkin and Jeff Bilmes. Multi-Layer Ratio Semi-Definite Classifiers. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Taipei, Taiwan, 2009.
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• Alex Stupakov, Evan Hanusa, Jeff Bilmes, and Dieter Fox. A Corpus of Multi-Party Conversational Speech in Noisy Environments. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Taipei, Taiwan, 2009.
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• Ning Ma, Chris D. Bartels, Jeff A. Bilmes, and Phil D. Green. Modelling the Prepausal Lengthening Effect for Speech Recognition: A Dynamic Bayesian Network Approach. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Taipei, Taiwan, 2009.
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• Franz Pernkopf, Van Pham Tuan, and Jeff Bilmes. Broad phonetic classification using discriminative Bayesian networks. Speech Communications, 51(2):151–166, Elsevier Science Publishers B. V., Amsterdam, The Netherlands, The Netherlands, 2009.
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• Brandi House, Jonathan Malkin, and Jeff A. Bilmes. The VoiceBot: A Voice Controlled Robot Arm. In CHI 2009: ACM Conference on Human Factors in Computing Systems, Boston, MA, April 2009.
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• Susumu Harada, Jacob O. Wobbrock, Jonathan Malkin, Jeff A. Bilmes, and James A. Landay. Longitudinal Study of People Learning to Use Continuous Voice-Based Cursor Control. In CHI 2008: ACM Conference on Human Factors in Computing Systems, Boston, MA, April 2009.
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2008

• Sheila M. Reynolds, Lukas Kall, Michael E. Riffle, Jeff A. Bilmes, and William Noble. Transmembrane topology and signal peptide prediction using dynamic Bayesian networks. PLoS Computational Biology, 4(11), November 2008.
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• Susumu Harada, James Landay, Jon Malkin, Xiao Li, and Jeff Bilmes. The Vocal Joystick: evaluation of voice-based cursor control techniques for assistive technology. Disability and Rehabilitation: Assistive Technology, 3(1):22–34, January 2008.
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• Aaron Klammer, Sheila Reynolds, Jeff Bilmes, Mike MacCoss, and William Noble. Modeling peptide fragmentation with dynamic Bayesian networks for peptide identification. Bioinformatics, 24(13):348–56, July 2008.
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• Jeff Bilmes. Gaussian Models in Automatic Speech Recognition. In David Havelock, Sonoko Kuwano, and Michael Vorlander, editors, Handbook of Signal Processing in Acoustics, pp. 521–556, Springer Science+Business Media, LLC, 2008.
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• Amar Subramanya and Jeff Bilmes. Soft-Supervised Learning for Text Classification. In Empirical Methods in Natural Language Processing (EMNLP), Honolulu, Hawaii, October 2008.
  Details     BibTeX     Download: [pdf] (278.9kB )  [ps.gz] (313.8kB )  
• Hui Lin, Alex Stupakov, and Jeff Bilmes. Spoken Keyword Spotting via Multi-Lattice Alignment. In Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Brisbane, Australia, September 2008.
  Details     BibTeX     Download: [pdf] (126.7kB )  [ps.gz] (169.9kB )  
• Chris Bartels and Jeff Bilmes. Using Syllable Nuclei Locations to Improve Automatic Speech Recognition in the Presence of Burst Noise. In Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Brisbane, Australia, September 2008.
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• Amarnag Subramanya and Jeff Bilmes. Applications of Virtual-Evidence based Speech Recognizer Training. In Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Brisbane, Australia, September 2008.
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• Aaron A. Klammer, Sheila M. Reynolds, Jeff A. Bilmes, Michael J. MacCoss, and William Noble. Modelling peptide fragmentation with dynamic Bayesian networks for peptide identification. In 16th Annual International Conference on Intelligent Systems for Molecular Biology (Bioinformatics, Proceedings of the ISMB), Toronto, July 2008.
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• Danny Wyatt, Tanzeem Choudhury, and Jeff Bilmes. Understanding Social Relationships: Cues from Subtle Conversational Signals. In Tenth International Conference on Ubiquitous Computing (UBICOMP08), Seoul, South Korea, September 2008.
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• William Pentney, Matthai Philipose, and Jeff Bilmes. Structure Learning on Large Scale Common Sense Statistical Models of Human State. In Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-08),, Chicago, Illinois, USA, July 2008.
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• Danny Wyatt, Tanzeem Choudhury, and Jeff Bilmes. Learning Hidden Curved Exponential Family Models to Infer Face-to-Face Interaction Networks from Situated Speech Data. In Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-08),, Chicago, Illinois, USA, July 2008.
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• Jon Malkin and Jeff Bilmes. Ratio Semi-Definite Classifiers. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Las Vegas, NV, April 2008.
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• Hui Lin and Jeff Bilmes. Polyphase Speech Recognition. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Las Vegas, NV, April 2008.
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• Andrew Guillory and Jeff Bilmes. Practical Methods for Exploiting Bounds on Change in the Margin. In The Tenth International Symposium on Artificial Intelligence and Mathematics (ISAIM 2007), Fort Lauderdale, Florida, 2008.
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• Franz Pernkopf and Jeff Bilmes. Order-based Discriminative Structure Learning for Bayesian Network Classifiers. In The Tenth International Symposium on Artificial Intelligence and Mathematics (ISAIM 2007), Fort Lauderdale, Florida, 2008.
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• Katrin Kirchhoff, Jeff Bilmes, and Kevin Duh. Factored Language Models Tutorial. Technical Report UWEETR-2008-00048, University of Washington, Dept. of EE, 2008. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2008-0004.html
  https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2008-0004.html
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2007

• Chris Bartels and Jeff Bilmes. Use of Syllable Nuclei Locations to Improve ASR. In Proc. IEEE Automatic Speech Recognition and Understanding (ASRU), Kyoto, Japan, December 2007.
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• Amar Subramanya, Chris Bartels, Jeff Bilmes, and Patrick Nguyen. Uncertainty in Training Large Vocabulary Speech Recognizers. In Proc. IEEE Automatic Speech Recognition and Understanding (ASRU), Kyoto, Japan, December 2007.
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• Hui Lin, Jeff Bilmes, Dimitra Vergyri, and Katrin Kirchhoff. OOV Detection by Joint Word/Phone Lattice Alignment. In Proc. IEEE Automatic Speech Recognition and Understanding (ASRU), Kyoto, Japan, December 2007.
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• Raghunandan Kumaran, Jeff Bilmes, and Katrin Kirchhoff. Attention Shift Decoding for Conversational Speech Recognition. In Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Antwerp, Belgium, September 2007.
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• Danny Wyatt, Tanzeem Choudhury, and Jeff Bilmes. Conversation Detection and Speaker Segmentation in Privacy-Sensitive Situated Speech Data. In Proc. Annual Conference of the International Speech Communication Association (INTERSPEECH), Antwerp, Belgium, September 2007.
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• Marina Meila, Kapil Phadnis, Arthur Patterson, and Jeff Bilmes. Consensus Ranking Under the Exponential Model. In 22nd Conference on Uncertainty in Artificial Intelligence (UAI07), Vancouver, British Columbia, July 2007.
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• William Pentney, Matthai Philipose, Jeff Bilmes, and Henry Kautz. Learning Large Scale Common Sense Models of Everyday Life. In Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07), Vancouver, British Columbia, July 2007.
  Details     BibTeX     Download: [pdf] (113.9kB )  [ps.gz] (133.6kB )  
• Amarnag Subramanya and Jeff Bilmes. Virtual Evidence for Training Speech Recognizers using Partially Labeled Data. In Human Language Technology Conference/North American chapter of the Association for Computational Linguistics (HLT/NAACL-2007), Rochester, NY, April 2007.
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• Karim Filali and Jeff Bilmes. Generalized Graphical Abstractions for Statistical Machine Translation. In Human Language Technology Conference/North American chapter of the Association for Computational Linguistics (HLT/NAACL-2007), Rochester, NY, April 2007.
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• Xiao Li and Jeff Bilmes. A Bayesian Divergence Prior for Classifier Adaptation. In Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-2007), March 2007.
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• Cameron Elliott and Jeff Bilmes. Computer Based Mathematics Using Continuous Speech Recognition. In Striking a Chord: Vocal Interaction in Assistive Technologies, Games, and More: CHI 2007 workshop on non-verbal acoustic interaction, San Jose, CA, April 2007.
  http://ssli.ee.washington.edu/ camkego/cammath/
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• Jon Malkin, Brandi House, and Jeff Bilmes. Control of Simulated Arm with the Vocal Joystick. In Striking a Chord: Vocal Interaction in Assistive Technologies, Games, and More: CHI 2007 workshop on non-verbal acoustic interaction, San Jose, CA, April 2007.
  http://www.vocal-input.org
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• Susumu Harada, James A. Landay, and Jeff Bilmes. Drawing with Voice: Combining Non-Verbal Vocalizations with Words to Draw Hands-Free. In Striking a Chord: Vocal Interaction in Assistive Technologies, Games, and More: CHI 2007 workshop on non-verbal acoustic interaction, San Jose, CA, April 2007.
  http://www.vocal-input.org
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• Mukund Narasimhan and Jeff Bilmes. Local Search for Balanced Submodular Clusterings. In Twentieth International Joint Conference on Artificial Intelligence (IJCAI07), Hyderabad, India, January 2007.
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• Danny Wyatt, Tanzeem Choudhury, Jeff Bilmes, and Henry Kautz. A Privacy Sensitive Approach to Modeling Multi-Person Conversations. In Twentieth International Joint Conference on Artificial Intelligence (IJCAI07), Hyderabad, India, January 2007.
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• Chia Ping-Chen and Jeff Bilmes. MVA Processing of Speech Features. IEEE Transactions on Audio, Speech, and Language Processing, 15(1), January 2007.
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• Katherine Everitt, Susumu Harada, Jeff Bilmes, and James Landay. Disambiguating speech commands using physical context. In 9th ACM International Conference on Multimodal Interfaces (ICMI07), pp. 247–254, ACM, New York, NY, USA, November 12-15 2007.
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2006

• Jeff A. Bilmes. What HMMs Can Do. IEICE - Transactions on Information and Systems, E89-D(3):869–891, Oxford University Press, Oxford, UK, March 2006.
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• Karim Filali and Jeff Bilmes. Multi-dynamic Bayesian Networks. In Neural Information Processing Society (NIPS), Vancouver, Canada, December 2006.
  Details     BibTeX     Download: [pdf] (189.9kB )  [ps.gz] (271.0kB )  
• Gang Ji, Jeff Bilmes, Jeff Michels, Katrin Kirchhoff, and Chris Manning. Graphical Model Representations of Word Lattices. In IEEE/ACL 2006 Workshop on Spoken Language Technology (SLT2006), Palm Beach, Aruba, Dec 2006.
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• Susumu Harada, James Landay, Jon Malkin, Xiao Li, and Jeff Bilmes. The Vocal Joystick: Evaluation of Voice-based Cursor Control Techniques. In Proceedings of the 8th International ACM SIGACCESS Conference on Computers and Accessibility (ASSETS06), pp. 197–204, ACM, Portland, Oregon, October 2006. New York, NY
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• Xiao Li, Jonathan Malkin, Susumu Harada, Jeff Bilmes, Richard Wright, and James Landay. An Online Adaptive Filtering Algorithm for the Vocal Joystick. In Proc. Int. Conf. on Spoken Language Processing, Pittsburg, Pa., September 2006.
  Details     BibTeX     Download: [pdf] (239.9kB )  [ps.gz] (289.3kB )  
• Kelley Kilanski, Jonathan Malkin, Xiao Li, Richard Wright, and Jeff Bilmes. The Vocal Joystick Data Collection Effort and Vowel Corpus. In Proc. Int. Conf. on Spoken Language Processing, Pittsburg, Pa., September 2006.
  Details     BibTeX     Download: [pdf] (222.2kB )  [ps.gz] (290.5kB )  
• Xiao Li, Gang Ji, and Jeff Bilmes. A Factored Language Model for Quantized Music. In International Conference on Computer Music (ICMC06), New Orleans, LA., Oct 2006.
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• Amarnag Subramanya, Alvin Raj, Jeff Bilmes, and Dieter Fox. Hierarchical Models for Activity Recognition. In IEEE Multimedia Signal Processing (MMSP) Conference, Victoria, CA, October 2006.
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• Chris Bartels and Jeff Bilmes. Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models. In Uncertainty in Artificial Intelligence (UAI), AUAI, Cambridge, MA, July 2006.
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• Amarnag Subramanya, Alvin Raj, Jeff Bilmes, and Dieter Fox. Recognizing Activities and Spatial Context Using Wearable Sensors. In Uncertainty in Artificial Intelligence (UAI), 21, AUAI, Cambridge, MA, July 2006.
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• Alvin Raj, Amarnag Subramanya, Jeff Bilmes, and Dieter Fox. Rao-Blackwellized particle filters for recognizing activities and spatial context from wearable sensors. In Experimental Robotics: The 10th International Symposium, Springer Tracts in Advanced Robotics (STAR), Springer-Verlag, July 2006.
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• Gang Ji and Jeff Bilmes. Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging. In Human Language Technology Conference/North American chapter of the Association for Computational Linguistics (HLT/NAACL-2006), New York, NY, June 2006.
  Details     BibTeX     Download: [pdf] (168.8kB )  [ps.gz] (234.5kB )  
• Xiao Li and Jeff Bilmes. Regularized Adaptation of Discriminative Classifiers. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Toulouse, France, May 2006.
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• Jeff Bilmes, Jonathan Malkin, Xiao Li, Susumu Harada, Kelley Kilanski, Katrin Kirchhoff, Richard Wright, Amarnag Subramanya, James Landay, Patricia Dowden, and Howard Chizeck. The Vocal Joystick. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Toulouse, France, 2006.
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• Xiao Li and Jeff Bilmes. A Divergence Prior for Adaptive Learning. In NIPS 2006 Workshop; Learning When Test and Training Inputs Have Different Distributions, December 2006.
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• Xiao Li, Jon Malkin, and Jeff Bilmes. A High-speed, Low-Resource ASR Back-end Based on Custom Arithmetic. IEEE Trans. Speech and Audio Processing, 14(5):1683–1693, 2006.
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• Jon Malkin, Neil Lawrence, and Jeff Bilmes. The GP-LVM for Vocal Joystick Control. Technical Report UWEETR-2006-00016, University of Washington, Dept. of EE, 2006. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2006-0016.html
  https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2006-0016.html
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• Jeff Bilmes and Marina Meila. Intransitive Classification and Choice. Technical Report UWEETR-2006-00021, University of Washington, Dept. of EE, 2006. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2006-0021.html
  https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2006-0021.html
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2005

• Yi Li, Linda Shapiro, and Jeff Bilmes. A Generative/Discriminative Learning Algorithm for Object Recognition. In 10th IEEE Conference on Computer Vision (ICCV), Beijing, China, 2005.
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• Franz Pernkopf and Jeff Bilmes. Discriminative versus Generative Parameter and Structure Learning of Bayesian Network Classifiers. In International Conference on Machine Learning (ICML), Bonn, Germany, 2005.
  Details     BibTeX     Download: [pdf] (138.4kB )  [ps.gz] (165.6kB )  
• Mukund Narasimhan and Jeff Bilmes. A Submodular-Supermodular Procedure with Applications to Discriminative Structure Learning. In Uncertainty in Artificial Intelligence (UAI), Morgan Kaufmann Publishers, Edinburgh, Scotland, July 2005.
  Details     BibTeX     Download: [pdf] (140.6kB )  [ps.gz] (144.8kB )  
• Xiao Li, Jeff Bilmes, and Jon Malkin. Maximum Margin Learning and Adaptation of MLP Classifers. In European Conf. on Speech Communication and Technology (Eurospeech), Lisbon, Portugal, September 2005.
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• Chris Bartels, Kevin Duh, Jeff Bilmes, Katrin Kirchhoff, and Simon King. Genetic Triangulation of Graphical Models for Speech and Language Processing. In European Conf. on Speech Communication and Technology (Eurospeech), Lisbon, Portugal, September 2005.
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• Amar Subramanya, Jeff Bilmes, and Chia-Ping Chen. Focused Word Segmentation for ASR. In European Conf. on Speech Communication and Technology (Eurospeech), Lisbon, Portugal, September 2005.
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• Simon King, Chris Bartels, and Jeff Bilmes. SVitchboard 1: Small vocabulary tasks from Switchboard 1. In European Conf. on Speech Communication and Technology (Eurospeech), Lisbon, Portugal, September 2005.
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• Karim Filali and Jeff Bilmes. A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification. In Proceedings of the Association for Computational Linguistics (ACL), 43, University of Michigan, Ann Arbor, 2005.
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• Gang Ji and Jeff Bilmes. Dialog Act Tagging using Graphical Models. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005.
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• Xin Lei, Gang Ji, Tim Ng, Jeff Bilmes, and Mari Ostendorf. DBN-Based Multi-stream Models for Mandarin Toneme Recognition. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005.
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• J. Malkin, X. Li, and J. Bilmes. A Graphical Model for Formant Tracking. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005.
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• Chia-Ping Chen, Jeff Bilmes, and Dan Ellis. Speech Feature Smoothing for Robust ASR. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005.
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• Karim Filali, Xiao Li, and Jeff Bilmes. Algorithms for Data-driven ASR Parameter Quantization. Computer Speech & Language, 20(4):625–643, October 2005.
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• Xiao Li and Jeff Bilmes. Feature Pruning for Low-Power ASR Systems in Clean and Noisy Environments. IEEE Signal Processing Letters, pp. 489–492, June 2005.
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• Gang Ji and Jeff Bilmes. Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging. Technical Report UWEETR-2005-0008, University of Washington, Dept. of EE, 2005. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2005-0008.html
  https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2005-0008.html
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• Jeff Bilmes and Patrick Haffner. Tutorial: Machine learning in Speech and Language Processing. Tutorial presented during ICASSP, 2005, 2005.
  https://www.securecms.com/ICASSP2005/TutorialInfo.asp?TutorialID=13
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• Jeff Bilmes and Chris Bartels. Graphical Model Architectures for Speech Recognition. IEEE Signal Processing Magazine, 22(5):89–100, September 2005.
  Details     BibTeX     Download: [pdf] (1.6MB )  [ps.gz] (1.5MB )  
• Mukund Narasimhan, Nebojsa Jojic, and Jeff Bilmes. Q-Clustering. In Neural Information Processing Society (NIPS), Vancouver, Canada, December 2005.
  Details     BibTeX     Download: [pdf] (153.9kB )  [ps.gz] (208.4kB )  
• Karim Filali and Jeff Bilmes. Leveraging Multiple Languages to Improve Statistical MT Word Alignments. In Proc. IEEE Automatic Speech Recognition and Understanding (ASRU), Cancun, Mexico, Nov/Dec 2005.
  Details     BibTeX     Download: [pdf] (160.0kB )  [ps.gz] (216.4kB )  
• Jeff A. Bilmes, Xiao Li, Jonathan Malkin, Kelley Kilanski, Richard Wright, Katrin Kirchhoff, Amarnag Subramanya, Susumu Harada, James A. Landay, Patricia Dowden, and Howard Chizeck. The Vocal Joystick: A Voice-Based Human-Computer Interface for Individuals with Motor Impairments (extended abstract). In 18th Annual ACM Sypm. on User Interface Software and Technology, Seattle, Oct 2005. Extended Abstract
  Details     BibTeX     Download: [pdf] (86.7kB )  [ps.gz] (84.1kB )  
• Jeff A. Bilmes, Xiao Li, Jonathan Malkin, Kelley Kilanski, Richard Wright, Katrin Kirchhoff, Amarnag Subramanya, Susumu Harada, James A. Landay, Patricia Dowden, and Howard Chizeck. The Vocal Joystick: A Voice-Based Human-Computer Interface for Individuals with Motor Impairments. In Human Language Technology (HLT) Conference/ Conference on Empirical Methods in Natural Language Processing (EMNLP), Vancouver, B.C., Oct 2005.
  Details     BibTeX     Download: [pdf] (360.2kB )  [ps.gz] (246.5kB )  
• Jon Malkin, Xiao Li, and Jeff Bilmes. Energy and Loudness for Speed Control in the Vocal Joystick. In Proc. IEEE Automatic Speech Recognition and Understanding (ASRU), Cancun, Mexico, Nov/Dec 2005.
  Details     BibTeX     Download: (unavailable)
• Chris Bartels and Jeff Bilmes. Focused State Transition Information in ASR. In Proc. IEEE Automatic Speech Recognition and Understanding (ASRU), Cancun, Mexico, Nov/Dec 2005.
  Details     BibTeX     Download: [pdf] (303.9kB )  [ps.gz] (315.1kB )  
• S. Reynolds and Jeff Bilmes. Part-of-Speech Tagging using Virtual Evidence and Negative Training. In Human Language Technology Conference/Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP-2005), Vancouver, B.C., Oct 2005.
  Details     BibTeX     Download: [pdf] (144.6kB )  [ps.gz] (276.9kB )  

2004

• Mukund Narasimhan and Jeff Bilmes. PAC-learning bounded tree-width Graphical Models. In Uncertainty in Artificial Intelligence: Proceedings of the Twentieth Conference (UAI-2004), Morgan Kaufmann Publishers, July 2004.
  Details     BibTeX     Download: [pdf] (142.9kB )  [ps.gz] (228.0kB )  
• Mukund Narasimhan and Jeff Bilmes. Optimal Sub-graphical Models. In Neural Information Processing Society (NIPS), Vancouver, Canada, December 2004.
  Details     BibTeX     Download: [pdf] (87.9kB )  [ps.gz] (83.7kB )  
• Jeff Bilmes. What HMMs Can't Do: A Graphical Model Perspective. In Beyond HMM: Workshop on Statiatical Modeling Approach for Speech Recognition, Kyoto, Japan, December 2004. ATR Invited Paper and Lecture
  Details     BibTeX     Download: [pdf] (97.3kB )  [ps.gz] (88.0kB )  
• Xiao Li, Jon Malkin, and Jeff Bilmes. A graphical Model Approach to Pitch Tracking. In Proc. Int. Conf. on Spoken Language Processing, Jeju Island, Korea, October 2004.
  Details     BibTeX     Download: [pdf] (132.5kB )  [ps.gz] (141.5kB )  
• Yi Li, Jeff A. Bilmes, and Linda G. Shapiro. Object Class Recognition using Images of Abstract Regions. In International Conference on Pattern Recognition, Cambridge, UK, August 2004.
  Details     BibTeX     Download: [pdf] (284.9kB )  [ps.gz] (266.6kB )  
• Gang Ji and Jeff Bilmes. Multi-Speaker Language Modeling. In Human Language Technology Conference/North American chapter of the Association for Computational Linguistics (HLT/NAACL-2004), Boston, MA, May 2004.
  Details     BibTeX     Download: [pdf] (135.6kB )  [ps.gz] (196.5kB )  
• John Gowdy, Amar Subramanya, Chris Bartels, and Jeff Bilmes. DBN-Based Multi-Stream Models for Audio-Visual Speech Recognition. Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Montreal, Canada, May 2004.
  Details     BibTeX     Download: [pdf] (122.3kB )  [ps.gz] (223.0kB )  
• Xiao Li, Jonathan Malkin, and Jeff Bilmes. Codebook Design for ASR Systems using Custom Arithmetic Units. Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Montreal, Canada, May 2004.
  Details     BibTeX     Download: [pdf] (89.2kB )  [ps.gz] (133.0kB )  
• Jonathan Malkin, Xiao Li, and Jeff Bilmes. Custom Arithmetic for High-Speed, Low-Resource ASR Systems. Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Montreal, Canada, May 2004.
  Details     BibTeX     Download: [pdf] (112.9kB )  [ps.gz] (116.5kB )  
• Mukund Narasimhan and Jeff Bilmes. Efficient PAC-learning bounded tree-width Graphical Models. Technical Report UWEETR-2004-0009, University of Washington, Dept. of Electrical Engineering, 2004. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2004-0009.html
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• Chris Bartels and Jeff Bilmes. Elimination is not enough: Non-minimal triangulations for graphical models. Technical Report UWEETR-2004-0010, University of Washington, Dept. of Electrical Engineering, 2004. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2004-0010.html
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• Jeff Bilmes. On Soft Evidence in Bayesian Networks. Technical Report UWEETR-2004-0016, University of Washington, Dept. of Electrical Engineering, 2004. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2004-0016.html
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• Chia-ping Chen, Jeff Bilmes, and Dan P. Ellis. Blind MVA Speech Feature Processing on Aurora 2.0. Technical Report UWEETR-2004-0017, University of Washington, Dept. of Electrical Engineering, 2004. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2004-0017.html
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• Jeff Bilmes. Tutorial: Graphical Models in Speech and Language Research. Human Language Technology conference / North American chapter of the Association for Computational Linguistics(HLT/NAACL'04), 2004. https://ssli.ee.washington.edu/ bilmes/bilmes_hlt04_tutorial
  https://ssli.ee.washington.edu/ bilmes/bilmes_hlt04_tutorial
  Details     BibTeX     Download: (unavailable)
• Mukund Narasimhan and Jeff Bilmes. Optimization on Separator Trees. Technical Report UWEETR-2004-0018, University of Washington, Dept. of Electrical Engineering, 2004. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2004-0018.html
  Details     BibTeX     Download: [pdf] [ps.gz] 
• Rich Vuduc, Jim Demmel, and Jeff Bilmes. Statistical Models for Empirical Search-Based Performance Tuning. International Journal of High Performance Computing Applications, 18(1):65–94, February 2004.
  Details     BibTeX     Download: (unavailable)

2003

• Gang Ji and Jeff Bilmes. Necessary Intransitive Likelihood-Ratio Classifiers. In Neural Information Processing Society (NIPS), 16, Vancouver, Canada, December 2003.
  Details     BibTeX     Download: [pdf] (1.3MB )  [ps.gz] (218.1kB )  
• Xiao Li and Jeff Bilmes. Feature Pruning in Likelihood Evaluation of HMM-based Speech Recognition. In Proc. IEEE Automatic Speech Recognition and Understanding (ASRU), St. Thomas, U.S. Virgin Islands, Nov/Dec 2003.
  Details     BibTeX     Download: [pdf] (233.2kB )  [ps.gz] (258.1kB )  
• J. Bilmes and C. Bartels. On Triangulating Dynamic Graphical Models. In Uncertainty in Artificial Intelligence (UAI), pp. 47–56, Morgan Kaufmann Publishers, Acapulco, Mexico, 2003.
  Details     BibTeX     Download: [pdf] (1.7MB )  [ps.gz] (2.2MB )  
• Karen Livescu, James Glass, and Jeff Bilmes. Hidden Feature Models for Speech Recognition Using Dynamic Bayesian Networks. In European Conf. on Speech Communication and Technology (Eurospeech), 8th, Geneva, Switzerland, 2003.
  Details     BibTeX     Download: [pdf] (84.6kB )  [ps.gz] (172.2kB )  
• Jeff Bilmes and Katrin Kirchhoff. Factored Language Models and Generalized Parallel Backoff. In Human Language Technology Conference/North American chapter of the Association for Computational Linguistics (HLT/NAACL-2003), Edmonton, Alberta, May/June 2003.
  Details     BibTeX     Download: [pdf] (210.3kB )  [ps.gz] (604.5kB )  
• Katrin Kirchhoff, Jeff Bilmes, Sourin Das, Nicolae Duta, Melissa Egan, Gang Ji, Feng He, John Henderson, Daben Liu, Mohamed Noamany, Pat Schone, Richard Schwartz, and Dimitra Vergyri. Novel Approaches to Arabic Speech Recognition: Report from the 2002 Johns-Hopkins Summer Workshop. Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Hong Kong, China, May 2003.
  Details     BibTeX     Download: [pdf] (73.2kB )  [ps.gz] (125.4kB )  
• Yimin Zhang, Qian Diao, Shan Huang, Wei Hu, Chris Bartels, and Jeff Bilmes. DBN Based Multi-Stream Models for Speech. Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Hong Kong, China, May 2003.
  Details     BibTeX     Download: [pdf] (219.7kB )  [ps.gz] (295.8kB )  
• Matt Richardson, Jeff Bilmes, and Chris Diorio. Hidden-articulator Markov models for speech recognition. Speech Communication, 41:511, October 2003.
  Details     BibTeX     Download: (unavailable)
• J. Bilmes and K. Kirchhoff. Generalized Rules for Combination and Joint Training of Classifiers. Pattern Analysis and Applications, 6:201–211, 2003. Springer
  Details     BibTeX     Download: [pdf] (240.7kB )  [ps.gz] (725.0kB )  
• Jeff Bilmes. Graphical Models and Automatic Speech Recognition. In R. Rosenfeld, M. Ostendorf, S. Khudanpur, and M. Johnson, editors, Mathematical Foundations of Speech and Language Processing, Springer-Verlag, New York, 2003.
  http://www.ima.umn.edu/pub/pub.html
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• Jeff Bilmes. Buried Markov Models: A Graphical Modeling Approach to Automatic Speech Recognition. Computer Speech and Language, 17(2--3):213–231, April--July 2003.
  Details     BibTeX     Download: (unavailable)
• Jeff Bilmes. Tutorial: Graphical Models Research in Audio, Speech, and Language Processing. Presented during the 2003 Uncertainty in Artificial Intelligence (UAI'03) conference, 2003. https://ssli.ee.washington.edu/ bilmes/uai03_tutorial
  https://ssli.ee.washington.edu/ bilmes/uai03_tutorial
  Details     BibTeX     Download: (unavailable)
• Karim Filali, Xiao Li, and Jeff Bilmes. Algorithms for Data-Driven ASR Parameter Quantization. Technical Report UWEETR-2003-0010, University of Washington, Dept. of Electrical Engineering, 2003. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2003-0010.html
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• Xiao Li and Jeff Bilmes. Selectively Computing Dynamic Features in the Likelihood Computation of ASR Systems. Technical Report UWEETR-2003-0009, University of Washington, Department of Electrical Engineering, 2003. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2003-0009.html
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2002

• Ozgur Cetin, Harriet Nock, Katrin Kirchhoff, Jeff Bilmes, and Mari Ostendorf. The 2001 GMTK-based SPINE ASR System. In Proc. Int. Conf. on Spoken Language Processing, Denver, Colorado, 2002.
  Details     BibTeX     Download: [pdf] (87.9kB )  [ps.gz] (135.3kB )  
• Karim Filali, Xiao Li, and Jeff Bilmes. Data-Driven Vector Clustering for Low-Memory Footprint ASR. In Proc. Int. Conf. on Spoken Language Processing, Denver, Colorado, 2002.
  Details     BibTeX     Download: [pdf] (344.6kB )  [ps.gz] (971.7kB )  
• Chia-Ping Chen, Karim Filali, and Jeff Bilmes. Frontend Post-Processing and Backend Model Enhancement on the Aurora 2.0/3.0 Databases. In Proc. Int. Conf. on Spoken Language Processing, Denver, Colorado, 2002.
  also see http://ssli.ee.washington.edu/people/chiaping/mva.html
  Details     BibTeX     Download: [pdf] (87.4kB )  [ps.gz] (58.8kB )  
• Chia-Ping Chen. Low-Resource Noise-Robust Feature Post-Processing on Aurora 2.0. In Proc. Int. Conf. on Spoken Language Processing, Denver, Colorado, 2002.
  also see http://ssli.ee.washington.edu/people/chiaping/mva.html
  Details     BibTeX     Download: [pdf] (158.4kB )  [ps.gz] (380.9kB )  
• Jeff Bilmes and Geoff Zweig. The Graphical Models Toolkit: An Open Source Software System for Speech and Time-Series Processing. Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, 2002.
  Details     BibTeX     Download: [pdf] (60.6kB )  [ps.gz] (111.4kB )  
• Geoff Zweig, Jeff Bilmes, Thomas Richardson, Karim Filali, Karen Livescu, Peng Xu, Kirk Jackson, Yigal Brandman, Eric Sandness, Eva Holtz, Jerry Torres, and Bill Byrne. Structurally Discriminative Graphical Models for Automatic Speech Recognition --- Results from the 2001 Johns Hopkins Summer Workshop. Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, 2002.
  Details     BibTeX     Download: [pdf] (139.1kB )  [ps.gz] (254.5kB )  
• Katrin Kirchhoff, Sonia Parandekar, and Jeff Bilmes. Mixed-memory Markov models for Automatic Language Identification. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Orlando, Florida, 2002.
  Details     BibTeX     Download: [pdf] (47.4kB )  [ps.gz] (25.6kB )  
• Ivan Bulyko, Mari Ostendorf, and Jeff Bilmes. Robust Splicing Costs and Efficient Search with BMM Models for Concatenative Speech Synthesis. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Orlando, Florida, 2002.
  Details     BibTeX     Download: [pdf] (43.0kB )  [ps.gz] (29.5kB )  
• Gang Ji and Jeff Bilmes. Necessary Intransitive Likelihood-Ratio Classifiers. Technical Report UWEETR-2002-0014, University of Washington, Dept. of EE, 2002. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2002-0014.html
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• J. Bilmes. The GMTK Documentation. 2002. \hrefhttp://ssli.ee.washington.edu/bilmes/gmtkhttp://ssli.ee.washington.edu/~bilmes/gmtk
  Details     BibTeX     Download: (unavailable)
• Jeff Bilmes. The Graphical Models Toolkit Documentation. Technical Documentation on the web, 2002.
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• Jeff Bilmes. What HMMs can do. Technical Report UWEETR-2002-0003, University of Washington, Department of Electrical Engineering, 2002. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2002-0003.html
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• Jeff Bilmes and Chris Bartels. On Triangulating Dynamic Graphical Models. Technical Report UWEETR-2002-0007, University of Washington, Department of Electrical Engineering, 2002. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2002-0007.html
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2001

• Chia-Ping Chen, Katrin Kirchhoff, and Jeff Bilmes. Towards Simple Methods of Noise-Robustness. Technical Report UWEETR-2002-0002, University of Washington, Dept. of EE, 2001. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2002-0002.html
  Details     BibTeX     Download: [HTML] 
• Jeff Bilmes. Graphical Models and Automatic Speech Recognition. Technical Report UWEETR-2001-0005, University of Washington, Department of Electrical Engineering, 2001. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2001-0005.html
  Details     BibTeX     Download: [pdf] [ps.gz] 
• Chia-Ping Chen, Katrin Kirchhoff, and Jeff Bilmes. Towards Simple Methods of Noise Robustness. Technical Report UWEETR-2002-0002, University of Washington, Department of Electrical Engineering, 2001. https://www.ee.washington.edu/techsite/papers/refer/UWEETR-2002-0002.html
  Details     BibTeX     Download: [pdf] [ps.gz] 
• Jeff Bilmes, Gang Ji, and Marina Meil\ua. Intransitive Likelihood-Ratio Classifiers. In Neural Information Processing Society (NIPS), 14, Vancouver, Canada, December 2001.
  Details     BibTeX     Download: [pdf] (78.0kB )  [ps.gz] (41.4kB )  
• Rich Vuduc, Jim Demmel, and Jeff Bilmes. On Statistical Models in Automatic Tuning. In The International Conference on Computational Science: Architecture-Specific Automatic Performance Tuning, San Francisco, May 2001.
  Details     BibTeX     Download: [pdf] (309.2kB )  [ps.gz] (121.0kB )  
• J. Bilmes, G. Zweig, T. Richardson, K. Filali, K. Livescu, P. Xu, K. Jackson, Y. Brandman, E. Sandness, E. Holtz, J. Torres, and B. Byrne. Discriminatively Structured Graphical Models for Speech Recognition: JHU-WS-2001 Final Workshop Report. Technical Report CLSP, Johns Hopkins University, Baltimore MD, 2001. http://www.clsp.jhu.edu/ws2001/groups/gmsr/GMRO-final-rpt.pdf
  http://www.clsp.jhu.edu/ws2001/groups/gmsr/GMRO-final-rpt.pdf
  Details     BibTeX     Download: (unavailable)

2000

• Rich Vuduc, Jeff Bilmes, and Jim Demmel. Statistical Modeling of Feedback Data in an Automatic Tuning System. In Third ACM Workshop on Feedback-Directed and Dynamic Optimization FDDO-3, Monterey, December 2000.
  Details     BibTeX     Download: [pdf] (396.7kB )  [ps.gz] (146.0kB )  
• Matt Richardson, Jeff Bilmes, and Chris Diorio. Hidden-Articulator Markov Models: Performance Improvements and Robustness to Noise. In Proc. Int. Conf. on Spoken Language Processing, Beijing, China, October 2000.
  Details     BibTeX     Download: [pdf] (65.0kB )  [ps.gz] (57.8kB )  
• Matt Richardson, Jeff Bilmes, and Chris Diorio. Hidden-Articulator Markov Models for Speech Recognition. In Proc. of the ISCA ITRW Automatic Speech Recognition 2000 Workshop, Paris, France, October 2000.
  Details     BibTeX     Download: [pdf] (425.8kB )  [ps.gz] (155.9kB )  
• Katrin Kirchhoff and Jeff Bilmes. Combination and Joint Training of Acoustic Classifiers for Speech Recognition. In Proc. of the ISCA ITRW Automatic Speech Recognition 2000 Workshop, Paris, France, October 2000.
  Details     BibTeX     Download: [pdf] (433.6kB )  [ps.gz] (361.3kB )  
• Jeff Bilmes and Katrin Kirchhoff. Directed Graphical Models of Classifier Combination: Application to Phone Recognition. In Proc. Int. Conf. on Spoken Language Processing, Beijing, China, October 2000.
  Details     BibTeX     Download: [pdf] (84.3kB )  [ps.gz] (167.7kB )  
• Dan Ellis and Jeff Bilmes. Using Mutual Information to Design Feature Combinations. In Proc. Int. Conf. on Spoken Language Processing, Beijing, China, October 2000.
  Details     BibTeX     Download: [pdf] (69.9kB )  [ps.gz] (119.8kB )  
• Jeff Bilmes. Dynamic Bayesian Multinets. In Uncertainty in Artificial Intelligence (UAI), 16th, Morgan Kaufmann Publishers, 2000.
  Details     BibTeX     Download: [pdf] (145.6kB )  [ps.gz] (271.3kB )  
• Jeff Bilmes. Factored Sparse Inverse Covariance Matrices. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, 2000.
  Details     BibTeX     Download: [pdf] (404.0kB )  [ps.gz] (83.8kB )  

1999

• Jeff Bilmes. Buried Markov Models for Speech Recognition. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Phoenix, AZ, March 1999.
  Details     BibTeX     Download: [pdf] (407.6kB )  [ps.gz] (57.0kB )  
• Jeff Bilmes. Natural Statistical Models for Automatic Speech Recognition. Ph.D. Thesis, U.C. Berkeley, Dept. of EECS, CS Division, 1999.
  Details     BibTeX     Download: [pdf] (1.8MB )  [ps.gz] (2.8MB )  
• Katrin Kirchhoff and Jeff Bilmes. Dynamic classifier combination in hybrid speech recognition systems using utterance-level confidence values. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, pp. 693–696, 1999.
  Details     BibTeX     Download: [pdf] (65.8kB )  [ps.gz] (55.0kB )  
• Katrin Kirchhoff and Jeff Bilmes. Statistical Acoustic Indications of Coarticulation. In Proceedings 14th International Congress of Phonetic Sciences, august 1999.
  Details     BibTeX     Download: [pdf] (73.6kB )  [ps.gz] (38.6kB )  

1998

• Jeff Bilmes. Data-Driven Extensions to HMM Statistical Dependencies. In Proc. Int. Conf. on Spoken Language Processing, Sidney, Australia, December 1998.
  Details     BibTeX     Download: [pdf] (111.4kB )  [ps.gz] (43.8kB )  
• Jeff Bilmes. Maximum Mutual Information based reduction strategies for Cross-Correlation Based Joint Distributional Modeling. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, Seattle, WA, May 1998.
  Details     BibTeX     Download: [pdf] (91.2kB )  [ps.gz] (36.9kB )  
• Jeff Bilmes, Krste Asanovi\'c, CW Chin, and Jim Demmel. The PHiPAC v1.0 Matrix-Multiply Distribution. Technical Report 1020, Department of EECS, CS Division, University of California at Berkeley, 1998. http://www.icsi.berkeley.edu/~bilmes/phipac/
  Details     BibTeX     Download: [pdf] (311.8kB )  [ps.gz] (624.0kB )  

1997

• Jeff Bilmes. Joint Distributional Modeling with Cross-Correlation based Features. In Proc. IEEE Automatic Speech Recognition and Understanding (ASRU), Santa Barbara, December 1997.
  Details     BibTeX     Download: [pdf] (509.3kB )  [ps.gz] (469.6kB )  
• Jeff Bilmes, Amin Vahdat, W. Hsu, and E.-J. Im.. Empirical Observations of Probabilistic Heuristics for the Clustering Problem. Technical Report ICSI-TR097-018, ICSI, 1997. ftp://ftp.icsi.berkeley.edu/pub/techreports/1997/tr-97-018.ps.gz
  Details     BibTeX     Download: (unavailable)
• Vijay Iyer, Jeff Bilmes, Matt Wright, and David Wessel. A Novel Representation for Rhythmic Structure. In International Computer Music Conference, September 1997.
  Details     BibTeX     Download: [pdf] (20.8kB )  [ps.gz] (117.4kB )  
• J. Bilmes, K. Asanovi\'c, C.-W. Chin, and J. Demmel. Using PHiPAC to speed Error Back-Propagation Learning. In Proc. IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing, April 1997.
  Details     BibTeX     Download: [pdf] (154.9kB )  [ps.gz] (56.7kB )  
• J. Bilmes, K. Asanovi\'c, C.W. Chin, and J. Demmel. Optimizing Matrix Multiply using PHiPAC: a Portable, High-Performance, ANSI C Coding Methodology. In Proceedings of the International Conference on Supercomputing, ACM SIGARC, Vienna, Austria, July 1997.
  Details     BibTeX     Download: [pdf] (252.9kB )  [ps.gz] (134.6kB )  
• Jeff Bilmes. A Gentle Tutorial of the EM algorithm and its application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models. Technical Report TR-97-021, ICSI, 1997.
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1996

• J. Bilmes, K. Asanovi\'c, J. Demmel, D. Lam, and C.W. Chin. PHiPAC: A Portable, High-Performance, ANSI C Coding Methodology and its application to Matrix Multiply. LAPACK Working Note 111 University of Tennessee, 1996.
  Details     BibTeX     Download: [pdf] (279.1kB )  [ps.gz] (195.0kB )  
• J. Bilmes, N. Morgan, S.-L. Wu, and H. Bourlard. Stochastic Perceptual Speech Models With Durational Dependence. Intl. Conference on Spoken Language Processing, November 1996.
  Details     BibTeX     Download: [pdf] (438.8kB )  [ps.gz] (51.5kB )  
• J. Bilmes. Temporal Gaussian Scaled Speech. \hrefhttp://www.icsi.berkeley.edu/ bilmes/earexhttp://www.icsi.berkeley.edu/~bilmes/earex, 1996. Contains audio examples of temporally Gaussian scaled speech.
  Details     BibTeX     Download: (unavailable)

1993

• J. Bilmes. Timing is of the Essence: Perceptual and Computational Techniques for Representing, Learning, and Reproducing Expressive Timing in Percussive Rhythm. Master's Thesis, MIT, Cambridge, MA,1993.
  Details     BibTeX     Download: [pdf] (2.4MB )  [ps.gz] (3.1MB )  
• J. Bilmes. Techniques to Foster Drum Machine Expressivity. In International Computer Music Conference, , 1993.
  Details     BibTeX     Download: [pdf] (367.2kB )  [ps.gz] (234.3kB )  
• N. Morgan, J. Beck, P. Kohn, and J. Bilmes. Neurocomputing on the RAP. In K. W. Przytula and V. K. Prasanna, editors, Digital Parallel Implementations of Neural Networks, pp. 197–219, Prentice-Hall, 1993.
  Details     BibTeX     Download: (unavailable)

1992

• N. Morgan, J. Beck, P. Kohn, J. Bilmes, E. Allman, and J. Beer. The Ring Array Processor (RAP): A Multiprocessing peripheral for connectionist applications. Journal of Parallel and Distributed Computing, 14:248–259, April 1992.
  Details     BibTeX     Download: (unavailable)
• J. Bilmes. A Model for Musical Rhythm. In International Computer Music Conference, 1992.
  Details     BibTeX     Download: [pdf] (101.8kB )  [ps.gz] (25.8kB )  
• D. Anderson and J. Bilmes. MOOD: A Concurrent C++-Based Music Language. In International Computer Music Conference, 1992.
  Details     BibTeX     Download: [pdf] (21.0kB )  [ps.gz] (10.5kB )  

1991

• P. Kohn, J. Bilmes, N. Morgan, and J. Beck. Software for ANN training on a Ring Array Processor. In Neural Information Processing Society (NIPS), 4, May 1991.
  Details     BibTeX     Download: (unavailable)
• H. Schmidt and J. Bilmes. Exception Handling in pSather. In Exception Handling Workshop, European Conference on Object-Oriented Programming, 1991.
  Details     BibTeX     Download: (unavailable)
• Oliver Gunther and Jeff Bilmes. Tree-Based Access Methods for Spatial Databases: Implementation and Performance Evaluation. IEEE Transactions on Knowledge and Data Engineering, 3(3), 1991.
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1989

• Oliver Gunther and Jeff Bilmes. The Implementation of the Cell Tree: Design Alternatives and Performance Evaluation. Datenbanksysteme in Buro, Technik und Wissenschaft, Informatik-Fachberichte, 204, 1989. Springer-Verlag
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• D. Anderson and J. Bilmes. Concurrent Real-Time Music in C++. In USENIX C++ Conference, 1989.
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