Jeff Bilmes, Selected Publications

  • Refereed Conference Proceedings
  • Journal Publications and Book Chapters
  • Tutorials
  • Technical Reports
  • Technical Documentation

    • Refereed Conference Proceedings

    2008
    * Amar subramanya and Jeff Bilmes Soft-Supervised Learning for Text Classification pdf or .ps.gz Empirical Methods in Natural Language Processing ( EMNLP) 2008 , Honolulu, Hawaii, October 2008
    * Hui Lin, Alex Stupakov, Jeff Bilmes Spoken Keyword Spotting via Multi-Lattice Alignment pdf or .ps.gz Proceedings of Interspeech 2008 , Brisbane Australia, September 2008
    * Chris Bartels, Jeff Bilmes Using Syllable Nuclei Locations to Improve Automatic Speech Recognition in the Presence of Burst Noise pdf or .ps.gz Proceedings of Interspeech 2008 , Brisbane Australia, September 2008
    * Amarnag Subramanya, Jeff Bilmes Applications of Virtual-Evidence based Speech Recognizer Training pdf or .ps.gz Proceedings of Interspeech 2008 , Brisbane Australia, September 2008
    * 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 pdf or .ps.gz 16th Annual International Conference on Intelligent Systems for Molecular Biology (Bioinformatics, Proceedings of the ISMB) , Toronto, July 2008
    * Danny Wyatt, Tanzeem Choudhury, Jeff Bilmes Understanding Social Relationships: Cues from Subtle Conversational Signals pdf or .ps.gz Tenth International Conference on Ubiquitous Computing (UBICOMP08) , Seoul, South Korea September, 2008
    * William Pentney, Matthai Philipose, and Jeff Bilmes Structure Learning on Large Scale Common Sense Statistical Models of Human State pdf or .ps.gz Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-08), , Chicago, Illinois, USA, July 2008
    * Danny Wyatt, Tanzeem Choudhury, and Jeff Bilmes Learning Hidden Curved Exponential Family Models to Infer Face-to-Face Interaction Networks from Situated Speech Data pdf or .ps.gz Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-08), , Chicago, Illinois, USA, July 2008
    * Hui Lin and Jeff Bilmes Polyphase Speech Recognition PDF or .ps.gz IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Las Vegas, NV, April 2008
    * Jon Malkin and Jeff Bilmes Ratio Semi-Definite Classifiers PDF or .ps.gz IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Las Vegas, NV, April 2008
    * Andrew Guillory and Jeff Bilmes Practical Methods for Exploiting Bounds on Change in the Margin pdf or .ps.gz The Tenth International Symposium on Artificial Intelligence and Mathematics (ISAIM 2007) , Fort Lauderdale, Florida, Jan 2-4, 2008
    * Franz Pernkopf and Jeff Bilmes Order-based Discriminative Structure Learning for Bayesian Network Classifiers pdf or .ps.gz The Tenth International Symposium on Artificial Intelligence and Mathematics (ISAIM 2007) , Fort Lauderdale, Florida, Jan 2-4, 2008
    2007
    * Chris Bartels and Jeff Bilmes Use of Syllable Nuclei Locations to Improve ASR pdf or .ps.gz IEEE Automatic Speech Recognition and Understanding (ASRU) , Kyoto, Japan, Dec 2007
    * Amar Subramanya, Chris Bartels, Jeff Bilmes, and Patrick Nguyen Uncertainty in Training Large Vocabulary Speech Recognizers pdf or .ps.gz IEEE Automatic Speech Recognition and Understanding (ASRU) , Kyoto, Japan, Dec 2007
    * Hui Lin, Jeff Bilmes, Dimitra Vergyri, and Katrin Kirchhoff OOV Detection by Joint Word/Phone Lattice Alignment pdf or .ps.gz IEEE Automatic Speech Recognition and Understanding (ASRU) , Kyoto, Japan, Dec 2007
    * Raghunandan Kumaran, Jeff Bilmes, and Katrin Kirchhoff, Attention Shift Decoding for Conversational Speech Recognition pdf or .ps.gz Proceedings of Interspeech (Eurospeech) 2007 , Antwerp, Belgium. August 2007
    * Danny Wyatt, Tanzeem Choudhury, and Jeff Bilmes Conversation Detection and Speaker Segmentation in Privacy-Sensitive Situated Speech Data pdf or .ps.gz Proceedings of Interspeech (Eurospeech) 2007 , Antwerp, Belgium. August 2007
    * Marina Meila, Kapil Phadnis, Arthur Patterson and Jeff Bilmes Consensus Ranking Under the Exponential Model, pdf or .ps.gz 22nd Conference on Uncertainty in Artificial Intelligence (UAI07) , Vancouver, British Columbia, Canada. July 2007.
    * William Pentney, Matthai Philipose, Jeff Bilmes, and Henry Kautz, Learning Large Scale Common Sense Models of Everyday Life pdf or .ps.gz Twenty-Second AAAI Conference on Artificial Intelligence (AAAI-07), , Vancouver, British Columbia, Canada. July 2007.
    * Amarnag Subramanya and Jeff Bilmes Virtual Evidence for Training Speech Recognizers using Partially Labeled Data pdf or .ps.gz Human Language Technology Conference --- North American Association for Computational Linguistics (NAACL-HLT-07), , Rochester, NY. April 2007
    * Karim Filali and Jeff Bilmes Generalized Graphical Abstractions for Statistical Machine Translation pdf or .ps.gz Human Language Technology Conference --- North American Association for Computational Linguistics (NAACL-HLT-07), , Rochester, NY. April 2007
    * Xiao Li and Jeff Bilmes A Bayesian Divergence Prior for Classifier Adaptation pdf or .ps.gz Eleventh International Conference on Artificial Intelligence and Statistics (AISTATS-2007) , San Juan, Puerto Rico, March 2007
    * Cameron Elliott and Jeff Bilmes Computer Based Mathematics Using Continuous Speech Recognition Striking a C[h]ord: Vocal Interaction in Assistive Technologies, Games, and More , CHI 2007 workshop on non-verbal acoustic interaction. San Jose, CA April 2007. (also see here for video demonstrations).
    * Jon Malkin, Brandi House, and Jeff Bilmes Control of Simulated Arm with the Vocal Joystick Striking a C[h]ord: Vocal Interaction in Assistive Technologies, Games, and More , CHI 2007 workshop on non-verbal acoustic interaction. San Jose, CA April 2007.
    * Susumu Harada, James A. Landay, and Jeff Bilmes Drawing with Voice: Combining Non-Verbal Vocalizations with Words to Draw Hands-Free Striking a C[h]ord: Vocal Interaction in Assistive Technologies, Games, and More , CHI 2007 workshop on non-verbal acoustic interaction. San Jose, CA April 2007.
    * Mukund Narasimhan and Jeff Bilmes Local Search for Balanced Submodular Clusterings pdf or .ps.gz Twentieth International Joint Conference on Artificial Intelligence (IJCAI07) , Hyderabad, India, January 6-12, 2007
    * Danny Wyatt, Tanzeem Choudhury, Jeff Bilmes and Henry Kautz A Privacy Sensitive Approach to Modeling Multi-Person Conversations pdf or .ps.gz Twentieth International Joint Conference on Artificial Intelligence (IJCAI07) , Hyderabad, India, January 6-12, 2007
    2006
    * Karim Filali and Jeff Bilmes Multi-dynamic Bayesian Networks pdf or .ps.gz Neural Information Processing Systems (NIPS), , Vancover, Canada, Dec 2006
    * Gang Ji, Jeff Bilmes, Jeff Michels, Katrin Kirchhoff, and Chris Manning Graphical Model Representations of Word Lattices pdf or .ps.gz IEEE/ACL 2006 Workshop on Spoken Language Technology (SLT2006) , Palm Beach, Aruba, Dec 2006
    * S. Harada, J.A. Landay, J. Malkin, X. Li, and J.A. Bilmes. The Vocal Joystick: Evaluation of Voice-based Cursor Control Techniques pdf or .ps.gz Proceedings of the 8th International ACM SIGACCESS Conference on Computers and Accessibility. , Portland, Oregon, October 2006.
    * Xiao Li, Jon Malkin, Susumu Harada, James Landay, Richard Wright, Jeff A. Bilmes An Online Adaptive Filtering Algorithm for the Vocal Joystick pdf or .ps.gz International Conference on Spoken Language Processing (ICSLP) 2006 , Pittsburg, Pa. Sep., 2006
    * Kelley Kilanski, Jonathan Malkin, Xiao Li, Richard Wright, Jeff A. Bilmes The Vocal Joystick Data Collection Effort and Vowel Corpus PDF or .ps.gz International Conference on Spoken Language Processing (ICSLP) 2006 , Pittsburg, Pa. Sep., 2006
    * Xiao Li, Gang Ji, Jeff A. Bilmes A Factored Language Model for Quantized Music International Conference on Computer Music (ICMC) 2006 , New Orleans, LA., Oct., 2006
    * Amarnag Subramanya, Alvin Raj, Jeff Bilmes, Dieter Fox Hierarchical Models for Activity Recognition pdf or .ps.gz IEEE Multimedia Signal Processing (MMSP) Conference , October, 2006 Victoria CA
    * Chris Bartels and Jeff Bilmes Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models PDF or .ps.gz 21st Conference on Uncertainty in Artificial Intelligence (UAI06) , Cambridge, MA. July, 2006
    * Amarnag Subramanya, Alvin Raj, Jeff Bilmes, Dieter Fox Recognizing Activities and Spatial Context Using Wearable Sensors PDF or .ps.gz 21st Conference on Uncertainty in Artificial Intelligence (UAI06) , Cambridge, MA. July, 2006
    * Alvin Raj, Amarnag Subramanya, Jeff Bilmes, Dieter Fox Rao-Blackwellized particle filters for recognizing activities and spatial context from wearable sensors Experimental Robotics: The 10th International Symposium, Springer Tracts in Advanced Robotics (STAR). , Springer-Verlag, 2006
    * Gang Ji and Jeff Bilmes Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging PDF or .ps.gz Human Language Technology/ American chapter of the Association for Computational Linguistics(HLT/NAACL'06) , New York, NY. June, 2006
    * Xiao Li and Jeff Bilmes Regularized Adaptation of Discriminative Classifiers PDF or .ps.gz IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Toulouse, France, May 2006
    * Jeff Bilmes, Jonathan Malkin, Xiao Li, Susumu Harada, Kelley Kilanski, Katrin Kirchhoff, Richard Wright, Amarnag Subramanya, James Landay, Patricia Dowden, Howard Chizeck, The Vocal Joystick PDF or .ps.gz IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Toulouse, France, May 2006
    2005
    * Mukund Narasimhan, Nebojsa Jojic, Jeff Bilmes Q-Clustering preprint Neural Information Processing Systems (NIPS), , Vancover, Canada, Dec 2005
    * Karim Filali and Jeff Bilmes Leveraging Multiple Languages to Improve Statistical MT Word Alignments (gzipped ps or pdf) IEEE Automatic Speech Recognition and Understanding (ASRU) , Cancun, Mexico, Nov/Dec, 2005
    (also see an extended TR version of this paper, and see Karim's page to get the hand-aligned French-English evaluation data that we used.)
    * 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 submission only, (gzipped ps or pdf) (pdf poster) 18th Annual ACM Sypm. on User Interface Software and Technology, Seattle, Oct, 2005
    * Jonathan Malkin, Xiao Li, Jeff Bilmes Energy and Loudness for Speed Control in the Vocal Joystick IEEE Automatic Speech Recognition and Understanding (ASRU) , Cancun, Mexico, Nov/Dec, 2005
    * Chris Bartels and Jeff Bilmes Focused State Transition Information in ASR (gzipped ps or pdf) IEEE Automatic Speech Recognition and Understanding (ASRU) , Cancun, Mexico, Nov/Dec, 2005
    * 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 (gzipped ps or pdf) Human Language Technology (HLT) Conference/ Conference on Empirical Methods in Natural Language Processing , Vancouver, B.C., Canada. Oct, 2005
    * Sheila M. Reynolds and Jeff A. Bilmes Part-of-Speech Tagging using Virtual Evidence and Negative Training (gzipped ps or pdf) Human Language Technology (HLT) Conference/ Conference on Empirical Methods in Natural Language Processing , Vancouver, B.C., Canada. Oct, 2005
    * Yi Li, Linda Shapiro, and Jeff Bilmes A Generative/Discriminative Learning Algorithm for Object Recognition (gzipped ps or pdf) 10th IEEE Conference on Computer Vision (ICCV) , Beijing, China 2005
    * Franz Pernkopf and Jeff Bilmes Discriminative versus Generative Parameter and Structure Learning of Bayesian Network Classifiers (gzipped ps or pdf) International Conference on Machine Learning , Bonn, Germany, 2005
    * Mukund Narasimhan and Jeff Bilmes A Supermodular-Submodular Procedure with Applications to Discriminative Structure Learning. (gzipped ps or pdf) 21st Conference on Uncertainty in Artificial Intelligence (UAI05) , Edinburgh, Scotland, 2005
    * Xiao Li, Jeff Bilmes, and Jon Malkin Maximum Margin Learning and Adaptation of MLP Classifers (gzipped ps or pdf) 9th European Conference on Speech Communication and Technology (Eurospeech'05) , Lisbon, Portugal, 2005
    * Chris Bartels, Kevin Duh, Jeff Bilmes, Katrin Kirchhoff, and Simon King Genetic Triangulation of Graphical Models for Speech and Language Processing (gzipped ps or pdf) 9th European Conference on Speech Communication and Technology (Eurospeech'05) , Lisbon, Portugal, 2005
    * Amar Subramanya, Jeff Bilmes, and Chia-Ping Chen Focused Word Segmentation for ASR (gzipped ps or pdf) 9th European Conference on Speech Communication and Technology (Eurospeech'05) , Lisbon, Portugal, 2005
    * Simon King, Chris Bartels, and Jeff Bilmes SVitchboard 1: Small Vocabulary Tasks from Switchboard 1 (gzipped ps or pdf) 9th European Conference on Speech Communication and Technology (Eurospeech'05) , Lisbon, Portugal, 2005
    * Karim Filali and Jeff Bilmes A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification (gzipped ps or pdf) Proceedings of the Association for Computational Linguistics (ACL), University of Michigan, Ann Arbor, 2005
    * Gang Ji and Jeff Bilmes Dialog Act Tagging using Graphical Models (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005
    * Xin Lei, Gang Ji, Tim Ng, Jeff Bilmes, and Mari Ostendorf DBN-Based Multi-stream Models for Mandarin Toneme Recognition (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005
    * Jon Malkin, Xiao Li, and Jeff Bilmes A Graphical Model for Formant Tracking (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005
    * Chia-Ping Chen, Jeff Bilmes, Dan Ellis Speech Feature Smoothing for Robust ASR (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, Philadelphia, PA, March 2005
    2004
    * Mukund Narasimhan, Jeff Bilmes Optimal Sub-graphical Models (gzipped ps or pdf) Neural Information Processing Systems (NIPS), 2004 , Vancover, Canada, Dec 2004
    * Jeff Bilmes What HMMs Can't do (gzipped ps or pdf) Invited paper and lecture, ATR Workshop "Beyond HMMs", Kyoto, Japan, December 2004.
    * Xiao Li, Jonathan Malkin, and Jeff A. Bilmes A Graphical Model Approach to Pitch Tracking (gzipped ps or pdf) International Conference on Spoken Language Processing (ICSLP) 2004 , October 2004.
    * Mukund Narasimhan and Jeff A. Bilmes PAC-learning bounded tree-width Graphical Models (gzipped ps or pdf) 20th Conference on Uncertainty in Artificial Intelligence (UAI) , July 2004.
    * Yi Li, Jeff A. Bilmes, and Linda G. Shapiro Object Class Recognition using Images of Abstract Regions (gzipped ps or pdf) International Conference on Pattern Recognition, August 2004. Cambridge, UK
    * Gang Ji and Jeff Bilmes. Multi-Speaker Language Modeling (gzipped ps or pdf) Human Language Technology Conference, May 2004. Boston, MA
    * John N. Gowdy, Amarnag Subramanya, Chris Bartels, and Jeff Bilmes. DBN-Based Multi-Stream Models for Audio-Visual Speech Recognition (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, May 2004. Montreal, Canada
    * Xiao Li, Jonathan Malkin, and Jeff Bilmes. Codebook Design for ASR Systems using Custom Arithmetic units (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, May 2004. Montreal, Canada
    * Jonathan Malkin, Xiao Li, and Jeff Bilmes. Custom Arithmetic for High-Speed, Low-Resource ASR Systems (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, May 2004. Montreal, Canada
    2003
    * Gang Ji and Jeff Bilmes Necessary Intransitive Likelihood-Ratio Classifiers (gzipped ps or pdf) Neural Information Processing Systems (NIPS), 2003 , 2003. Vancover, Canada, Dec 2003
    * Xiao Li and Jeff Bilmes Feature Pruning in Likelihood Evaluation of HMM-based Speech Recognition (gzipped ps or pdf) IEEE Automatic Speech Recognition and Understanding (ASRU), 2003 , 2003. St. Thomas, U.S. Virgin Islands, Dec 2003
    * Jeff Bilmes and Chris Bartels On Triangulating Dynamic Graphical Models (gzipped ps or pdf) 19th Conference on Uncertainty in Artificial Intelligence (UAI) , 2003. Acapulco, Mexico.
    * Karen Livescu, James Glass, and Jeff Bilmes Hidden Feature Models for Speech Recognition Using Dynamic Bayesian Networks (gzipped ps or pdf) 8th European Conference on Speech Communication and Technology (Eurospeech) , 2003. Geneva, Switzerland.
    * Jeff Bilmes and Katrin Kirchhoff Factored Language Models and Generalized Parallel Backoff (gzipped ps or pdf) Human Language Technology Conference , 2003. Edmonton, Canada.
    * Katrin Kirchhoff, Jeff Bilmes, Sourin Das, Nicolae Duta, Melissa Egan, Gang Ji, Feng He, John Henderson, Daben Liu, Mohamed Noamany, Pat Schone, Richard Schwartz, Dimitra Vergyri Novel Approaches to Arabic Speech Recognition: Report from the 2002 Johns-Hopkins Summer Workshop (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, April 2003. Hong Kong, China
    * Yimin Zhang, Qian Diao, Shan Huang, Wei Hu, Chris Bartels, and Jeff Bilmes. DBN Based Multi-Stream Models for Speech (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, April 2003. Hong Kong, China
    2002
    * Ozgur Cetin, Harriet Nock, Katrin Kirchhoff, Jeff Bilmes, and Mari Ostendorf The 2001 GMTK-Based SPINE ASR System (gzipped ps or pdf) International Conference on Spoken Language Processing (ICSLP) 2002 Denver, Colorado
    * Karim Filali, Xiao Li, and Jeff Bilmes Data-Driven Vector Clustering for Low-Memory Footprint ASR (gzipped ps or pdf) International Conference on Spoken Language Processing (ICSLP) 2002 Denver, Colorado
    * Chia-Ping Chen, Karim Filali, and Jeff Bilmes Frontend Post-Processing and Backend Model Enhancement on the Aurora 2.0/3.0 Databases (gzipped ps or pdf) International Conference on Spoken Language Processing (ICSLP) 2002 Denver, Colorado (also see the MVA Web site)
    * Chia-Ping Chen, Jeff Bilmes, and Katrin Kirchhoff Low-Resource Noise-Robust Feature Post-Processing on Aurora 2.0 (gzipped ps or pdf) International Conference on Spoken Language Processing (ICSLP) 2002 Denver, Colorado (also see the MVA Web site)
    * J. Bilmes and G. Zweig The Graphical Models Toolkit: An Open Source Software System for Speech and Time-Series Processing (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, June 2002. Orlando Florida
    * G. Zweig, J. Bilmes, T. Richardson, K. Filali, K. Livescu, P. Xu, K. Jackson, Y. Brandman, E. Sandness, E. Holtz, J. Torres, B. Byrne Structurally Discriminative Graphical Models for Automatic Speech Recognition: Results from the 2001 Johns Hopkins Summer Workshop (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, June 2002. Orlando Florida
    * K. Kirchhoff, S. Parandekar, and J. Bilmes Mixed-Memory Markov Models for Automatic Language Identification (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, June 2002. Orlando Florida
    * I. Bulyko, M. Ostendorf, and J. Bilmes Robust Splicing Costs and Efficient Search with BMM Models for Concatenative Speech Synthesis (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, June 2002.
    2001
    * J. Bilmes, G. Ji, and M. Meila Intransitive Likelihood-Ratio Classifiers (gzipped ps or pdf) NIPS'2001 Vancouver Canada, Dec 2001
    * R. Vuduc, J. Demmel, and J. Bilmes On Statistical Models in Automatic Tuning (gzipped ps or pdf) The International Conference on Computational Science: Architecture-Specific Automatic Performance Tuning San Francisco, May 2001
    2000
    * R. Vuduc, J. Bilmes, and J. Demmel Statistical Modeling of Feedback Data in an Automatic Tuning System (gzipped ps or pdf) Third ACM Workshop on Feedback-Directed and Dynamic Optimization FDDO-3, Monterey, December 2000
    * M. Richardson, J. Bilmes, and C. Diorio Hidden-Articulator Markov Models: Performance Improvements and Robustness to Noise (gzipped ps or pdf) Int. Conf. on Spoken Language Processing, Beijing, October 2000.
    * M. Richardson, J. Bilmes, and C. Diorio Hidden-Articulatory Markov Models for Speech Recognition (gzipped ps or pdf) ISCA ITRW Conference on Automatic Speech Recognition, Paris, August 2000
    * J. Bilmes and K. Kirchhoff Directed Graphical Models of Classifier Combination: Application to Phone Recognition. (gzipped ps or pdf) International Conference on Acoustics, Speech, and Signal Processing, Beijing, October 2000.
    * D. Ellis and J. Bilmes Using Mutual Information to Design Feature Combinations (gzipped ps or pdf) International Conference on Acoustics, Speech, and Signal Processing, Beijing, October 2000.
    * K. Kirchhoff and J. Bilmes Combination and joint Training of Acoustic Classifiers for Speech Recognition. (gzipped ps or pdf) ISCA ITRW Conference on Automatic Speech Recognition, Paris, August 2000.
    * J. Bilmes. Dynamic Bayesian Multi-Networks (pdf) The 16th Conference on Uncertainty in Artificial Intelligence, Stanford, July 2000.
    * J. Bilmes. Factored Sparse Inverse Covariance Matrices. (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, June 2000.
    1999
    * J. Bilmes. Buried Markov Models for Speech Recognition (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, March 1999.
    * K. Kirchhoff and J. Bilmes. Dynamic Classifier Combination in Hybrid Speech Recognition Systems using Utterance-Level Confidence Values (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, March 1999.
    * K. Kirchhoff and J. Bilmes. Statistical Acoustic Indications of Coarticulation (gzipped ps or pdf) 14th Int. Cong. of Phonetic Sciences, August, 1999.
    1998
    *
    J. Bilmes. Data-Driven Extensions to HMM Statistical Dependencies. (gzipped ps or pdf) Int. Conf. on Spoken Language Processing,, Dec 1998.
    * J. Bilmes. Maximum Mutual Information Based Reduction Strategies for Cross-Correlation based Joint Distributional Modeling (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, May 1998.
    1989-1997
    * J. Bilmes. Joint Distributional Modeling with Cross-correlation Based Features (gzipped ps or pdf) Proc. IEEE Automatic Speech Recognition and Understanding, Santa Barbara, December 1997.
    * J. Bilmes, K. Asanovic, C.-W. Chin, J. Demmel. Optimizing Matrix Multiply using PHiPAC: a Portable, High-Performance, ANSI C Coding Methodology (gzipped ps or pdf) Int. Conf. on Supercomputing, July 1997.
    * J. Bilmes, K. Asanovic, C.-W. Chin, J. Demmel. Using PHiPAC to Speed Error Back-Propagation Learning (gzipped ps or pdf) IEEE Int. Conf. on Acoustics, Speech, and Signal Processing, April 1997.
    * V. Iyer, J. Bilmes, M. Wright, and D. Wessel A Novel Representation for Rhythmic Structure (pdf) Int. Comp. Mus. Conf, September 1997.
    * J. Bilmes, N. Morgan, S.-L. Wu, and H. Bourlard. Stochastic Perceptual Speech Models With Durational Dependence (gzipped ps or pdf) Intl. Conference on Spoken Language Processing, Oct 1996.
    * J. Bilmes. Techniques to Foster Drum Machine Expressivity (gzipped ps or pdf) International Computer Music Conference, 1993.
    * J. Bilmes. A Model for Musical Rhythm. (gzipped ps or pdf) International Computer Music Conference, 1992.
    * J. Bilmes and D. Anderson. MOOD: A Concurrent C++-Based Music Language (gzipped ps or pdf) International Computer Music Conference, 1992.
    * P. Kohn, J. Bilmes, N. Morgan, and J. Beck. Software for ANN training on a Ring Array Processor NIPS-4, May 1991.
    * H. Schmidt and J. Bilmes. Exception Handling in pSather. Exception Handling Workshop, European Conference on Object-Oriented Programming, July 1991.
    * J. Bilmes and D. Anderson. Concurrent Real-Time Music in C++ (gzipped ps or pdf) USENIX C++ Conference, 1989.

    Journal Publications and Book Chapters

    * Jeff Bilmes Tied and Regularized Conditional Gaussian Graphical Models for Acoustic Modeling in ASR , To be published, draft book chapter for a book on acoustic modeling in speech recognition. Editor: Douglas O'Shaughnessy
    * Jeff Bilmes What HMMs Can Do , IEICE Transactions in Information and Systems Vol.E89-D, No 3, March 2006 ppg.869--891
    * 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)
    * Karim Filali and Jeff Bilmes. Algorithms for Data-driven ASR Parameter Quantization , Computer Speech & Language, Volume 20, Issue 4, Oct 2005, Pages 625-643.
    * Jeff Bilmes and Chris Bartels Graphical Model Architectures for Speech Recognition , IEEE Signal Processing Magazine, vol. 22, no. 5, pgs 89-100, September 2005.
    * Xiao Li and Jeff Bilmes Feature Pruning for Low-Power ASR Systems in Clean and Noisy Environments , IEEE Signal Processing Letters, June, 2005, pages 489-492
    * C.P.-Chen and J. Bilmes MVA Processing of Speech Features , IEEE Transactions on Speech and Audio,
    * J. Bilmes Buried Markov Models: A Graphical-Modeling approach to Automatic Speech Recognition , Computer, Speech and Language, Volume 17, No 2-3, April-July, 2003
    * R. Vuduc, J. Demmel, J. Bilmes. Statistical Models for Empirical Search-Based Performance Tuning. , International Journal of High Performance Computing Applications, 18(1), pp.65-94, Feb 2004.
    * J. Bilmes, Graphical Models and Automatic Speech Recognition , in "Mathematical Foundations of Speech and Language Processing", Institute of Mathematical Analysis Volumes in Mathematics Series, Springer-Verlag, 2003.
    * M. Richardson, J. Bilmes, and C. Diorio Hidden-Articulator Markov Models for Speech Recognition Speech Communications 41(2), October 2003.
    * J. Bilmes and K. Kirchhoff Generalized rules for combination and joint training of classifiers Pattern Analysis and Applications (2003) 6: 201-211.
    * N. Morgan, J. Beck, P. Kohn, and J. Bilmes. Neurocomputing on the RAP Book chapter in Parallel Digital Implementations of Neural Networks. Prentice-Hall, 1993.
    * 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, April 1992
    * O. Gunther and J. Bilmes. Tree-Based Access Methods for Spatial Databases: Implementation and Performance Evaluation. IEEE Transactions on Knowledge and Data Engineering , 3(3), 1991.
    * O. Gunther and J. Bilmes. The Implementation of the Cell Tree: Design Alternatives and Performance Evaluation. Datenbanksysteme in Buro, Technik und Wissenschaft, Informatik-Fachberichte 204, , Springer-Verlag, 1989.

    Tutorials

    * Jeff Bilmes Graphical Models in Speech and Language Research , tutorial presented during the 2004 Human Language Technology conference / North American chapter of the Association for Computational Linguistics(HLT/NAACL'04) conference.
    * Jeff Bilmes Graphical Models Research in Audio, Speech, and Language Processing , tutorial presented during the 2003 Uncertainty in Artificial Intelligence (UAI'03) conference.

    Technical Reports and other documents.

    * Gang Ji and Jeff Bilmes Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging , UWEETR-2005-0008, August 2005 (gzipped postscript or PDF)
    * Mukund Narasimhan and Jeff Bilmes Optimization on Separator Trees , UWEETR-2004-00018, March 2004 (gzipped postscript or PDF)
    * Chia-ping Chen, Jeff Bilmes, Dan P. Ellis Blind MVA Speech Feature Processing on Aurora 2.0 , UWEETR-2004-00017, March 2004 (gzipped postscript or PDF)
    * Jeff Bilmes On Soft Evidence in Bayesian Networks , UWEETR-2004-00016, March 2004 (gzipped postscript or PDF)
    * Chris Bartels and Jeff Bilmes Elimination is not enough: Non-minimal triangulations for graphical models , UWEETR-2004-00010, March 2004 (gzipped postscript or PDF)
    * Mukund Narasimhan and Jeff Bilmes Efficient PAC-learning bounded tree-width Graphical Models , UWEETR-2004-0009, March 2004 (gzipped postscript or PDF)
    * Karim Filali, Xiao Li, Jeff Bilmes Algorithms for Data-Driven ASR Parameter Quantization (also available in postscript), UWEETR-2002-0010, June, 2003
    * Xiao Li, J. Bilmes Selectively Computing Dynamic Features in the Likelihood Computation of ASR Systems (also available in postscript), UWEETR-2002-0009, May, 2003
    * J. Bilmes, C. Bartels On Triangulating Dynamic Graphical Models (also available in postscript), UWEETR-2002-0007, May, 2003
    * G. Ji, J. Bilmes, Necessary Intransitive Likelihood Ratio Classifiers (also available in postscript), UWEETR-2002-0014, December, 2002
    * J. Bilmes, What HMMs can do. (also available in postscript), UWEETR-2002-0003, Feb, 2002
    * C-.P-. Chen, K. Kirchhof, and J. Bilmes Towards Simple Methods of Noise Robustness (also available in postscript), UWEETR-2002-0002, Jan, 2002
    * J. Bilmes, et. al. Discriminatively Structured Graphical Models for Speech Recognition Johns Hopkins University, CSLP 2001 Summer Workshop Final Report.
    * J. Bilmes, Graphical Models and Automatic Speech Recognition (also available in postscript), UWEETR-2001-0005, November, 2001
    * J. Bilmes, K. Asanovic, C.-W. Chin, J. Demmel. The PHiPAC v1.0 Matrix-Multiply Distribution UCB/CSD-98-1020. October, 1998.
    * J. Bilmes. A Gentle Tutorial on the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models (pdf) other ICSI-TR-97-021, 1997.
    * J. Bilmes, A. Vahdat, W. Hsu, E.-J. Im. Empirical Observations of Probabilistic Heuristics for the Clustering Problem ICSI-TR097-018, May 1997.
    * J. Bilmes, K. Asanovic, C.-W. Chin, J. Demmel. PHiPAC: a Portable, High-Performance, C Coding Methodology and its application to matrix multiply. LAPACK Working Note 111, August 1996.

    Technical Documentation

    * J. Bilmes. The Graphical Models Toolkit Documentation (postscript or pdf ).

    Ph.D. Thesis

    * J. Bilmes. Natural Statistical Models for Automatic Speech Recognition. Ph.D. Thesis, Dept. of EECS, CS Division, U.C. Berkeley 1999 (postscript or pdf ).

    Masters Thesis

    * J. Bilmes. Timing is of the Essence: Perceptual and Computational Techniques for Representing, Learning, and Reproducing Expressive Timing in Percussive Rhythm. (gzipped ps or pdf) Masters Thesis, Massachusetts Institute of Technology, 1993.