Jeff A. Bilmes

According to our database1, Jeff A. Bilmes
  • authored at least 238 papers between 1989 and 2017.
  • has a "Dijkstra number"2 of four.

Timeline

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Bibliography

2017
Graph cuts with interacting edge weights: examples, approximations, and algorithms.
Math. Program., 2017

SVitchboard-II and FiSVer-I: Crafting high quality and low complexity conversational english speech corpora using submodular function optimization.
Computer Speech & Language, 2017

Deep Submodular Functions.
CoRR, 2017

Acoustic classification using semi-supervised Deep Neural Networks and stochastic entropy-regularization over nearest-neighbor graphs.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Reducing total latency in online real-time inference and decoding via combined context window and model smoothing latencies.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Speech Production in Speech Technologies: Introduction to the CSL Special Issue.
Computer Speech & Language, 2016

Scaling Submodular Maximization via Pruned Submodularity Graphs.
CoRR, 2016

Stream Clipper: Scalable Submodular Maximization on Stream.
CoRR, 2016

On Deep Multi-View Representation Learning: Objectives and Optimization.
CoRR, 2016

Efficient Distributed Semi-Supervised Learning using Stochastic Regularization over Affinity Graphs.
CoRR, 2016

Semi-Supervised Phone Classification using Deep Neural Networks and Stochastic Graph-Based Entropic Regularization.
CoRR, 2016

Faster and more accurate graphical model identification of tandem mass spectra using trellises.
Bioinformatics, 2016

Deep Submodular Functions: Definitions and Learning.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Analysis of Deep Neural Networks with Extended Data Jacobian Matrix.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Algorithms for Optimizing the Ratio of Submodular Functions.
Proceedings of the 33nd International Conference on Machine Learning, 2016

A weakly supervised activity recognition framework for real-time synthetic biology laboratory assistance.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

Constrained robust submodular sensor selection with applications to multistatic sonar arrays.
Proceedings of the 19th International Conference on Information Fusion, 2016

Bipartite matching generalizations for peptide identification in tandem mass spectrometry.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015
Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications to Parallel Machine Learning and Multi-Label Image Segmentation.
CoRR, 2015

Polyhedral aspects of Submodularity, Convexity and Concavity.
CoRR, 2015

Submodular Hamming Metrics.
CoRR, 2015

Mixed Robust/Average Submodular Partitioning: Fast Algorithms, Guarantees, and Applications.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Submodular Hamming Metrics.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

SVitchboard II and fiSVer i: high-quality limited-complexity corpora of conversational English speech.
Proceedings of the INTERSPEECH 2015, 2015

Submodularity in Data Subset Selection and Active Learning.
Proceedings of the 32nd International Conference on Machine Learning, 2015

On Deep Multi-View Representation Learning.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Entropic Graph-based Posterior Regularization.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Unsupervised learning of acoustic features via deep canonical correlation analysis.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

On Approximate Non-submodular Minimization via Tree-Structured Supermodularity.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Submodular Point Processes with Applications to Machine learning.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Summarization of Multi-Document Topic Hierarchies using Submodular Mixtures.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014
Divide-and-Conquer Learning by Anchoring a Conical Hull.
CoRR, 2014

Graph Cuts with Interacting Edge Costs - Examples, Approximations, and Algorithms.
CoRR, 2014

The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking.
CoRR, 2014

Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications.
CoRR, 2014

Monotone Closure of Relaxed Constraints in Submodular Optimization: Connections Between Minimization and Maximization.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Learning Peptide-Spectrum Alignment Models for Tandem Mass Spectrometry.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Divide-and-Conquer Learning by Anchoring a Conical Hull.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Learning Mixtures of Submodular Functions for Image Collection Summarization.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Author retrospective for optimizing matrix multiply using PHiPAC: a portable high-performance ANSI C coding methodology.
Proceedings of the ACM International Conference on Supercomputing 25th Anniversary Volume, 2014

Fast Multi-stage Submodular Maximization.
Proceedings of the 31th International Conference on Machine Learning, 2014

Submodular subset selection for large-scale speech training data.
Proceedings of the IEEE International Conference on Acoustics, 2014

Unsupervised submodular subset selection for speech data.
Proceedings of the IEEE International Conference on Acoustics, 2014

Submodularity for Data Selection in Machine Translation.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Dynamic Bayesian Multinets
CoRR, 2013

Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions.
CoRR, 2013

Fast Semidifferential-based Submodular Function Optimization.
CoRR, 2013

Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints.
CoRR, 2013

The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking.
CoRR, 2013

The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Curvature and Optimal Algorithms for Learning and Minimizing Submodular Functions.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Using Document Summarization Techniques for Speech Data Subset Selection.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

Classification of developmental disorders from speech signals using submodular feature selection.
Proceedings of the INTERSPEECH 2013, 2013

Fast Semidifferential-based Submodular Function Optimization.
Proceedings of the 30th International Conference on Machine Learning, 2013

Deep Canonical Correlation Analysis.
Proceedings of the 30th International Conference on Machine Learning, 2013

Submodular feature selection for high-dimensional acoustic score spaces.
Proceedings of the IEEE International Conference on Acoustics, 2013

Unsupervised pattern discovery in human chromatin structure through genomic segmentation.
Proceedings of the ACM Conference on Bioinformatics, 2013

2012
On Bisubmodular Maximization.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

Memory-efficient inference in dynamic graphical models using multiple cores.
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012

The design and collection of COSINE, a multi-microphone in situ speech corpus recorded in noisy environments.
Computer Speech & Language, 2012

On Triangulating Dynamic Graphical Models
CoRR, 2012

Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra
CoRR, 2012

Learning Mixtures of Submodular Shells with Application to Document Summarization
CoRR, 2012

PAC-learning bounded tree-width Graphical Models
CoRR, 2012

A submodular-supermodular procedure with applications to discriminative structure learning
CoRR, 2012

Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications
CoRR, 2012

Consensus ranking under the exponential model
CoRR, 2012

Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (2009)
CoRR, 2012

Active Semi-Supervised Learning using Submodular Functions
CoRR, 2012

Recognizing Activities and Spatial Context Using Wearable Sensors.
CoRR, 2012

Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models.
CoRR, 2012

Spectrum Identification using a Dynamic Bayesian Network Model of Tandem Mass Spectra.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Learning Mixtures of Submodular Shells with Application to Document Summarization.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Algorithms for Approximate Minimization of the Difference Between Submodular Functions, with Applications.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Submodular-Bregman and the Lovász-Bregman Divergences with Applications.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Acoustic model transformations based on random projections.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Sequential Deep Belief Networks.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Inferring colocation and conversation networks from privacy-sensitive audio with implications for computational social science.
ACM TIST, 2011

Creating non-minimal triangulations for use in inference in mixed stochastic/deterministic graphical models.
Machine Learning, 2011

Semi-Supervised Learning with Measure Propagation.
Journal of Machine Learning Research, 2011

The Vocal Joystick Engine v1.0.
Computer Speech & Language, 2011

Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure.
BMC Bioinformatics, 2011

Active Semi-Supervised Learning using Submodular Functions.
Proceedings of the UAI 2011, 2011

On fast approximate submodular minimization.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Online Submodular Set Cover, Ranking, and Repeated Active Learning.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Applications of submodular functions in speech and NLP.
Proceedings of the 2011 Symposium on Machine Learning in Speech and Language Processing, 2011

Optimal Selection of Limited Vocabulary Speech Corpora.
Proceedings of the INTERSPEECH 2011, 2011

Approximation Bounds for Inference using Cooperative Cuts.
Proceedings of the 28th International Conference on Machine Learning, 2011

Online Submodular Minimization for Combinatorial Structures.
Proceedings of the 28th International Conference on Machine Learning, 2011

Simultaneous Learning and Covering with Adversarial Noise.
Proceedings of the 28th International Conference on Machine Learning, 2011

Submodularity beyond submodular energies: Coupling edges in graph cuts.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Word Alignment via Submodular Maximization over Matroids.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference, 19-24 June, 2011, Portland, Oregon, USA, 2011

A Class of Submodular Functions for Document Summarization.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Dynamic Graphical Models.
IEEE Signal Process. Mag., 2010

Learning a Weighted Sequence Model of the Nucleosome Core and Linker Yields More Accurate Predictions in Saccharomyces cerevisiae and Homo sapiens.
PLoS Computational Biology, 2010

Efficient Heuristics for Discriminative Structure Learning of Bayesian Network Classifiers.
Journal of Machine Learning Research, 2010

Graphical models for integrating syllabic information.
Computer Speech & Language, 2010

Interactive Submodular Set Cover
CoRR, 2010

A dynamic Bayesian network for identifying protein-binding footprints from single molecule-based sequencing data.
Bioinformatics [ISMB], 2010

Panlingual lexical translation via probabilistic inference.
Artif. Intell., 2010

Predicting Nucleosome Positioning Using Multiple Evidence Tracks.
Proceedings of the Research in Computational Molecular Biology, 2010

Multi-document Summarization via Budgeted Maximization of Submodular Functions.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2010

Semi-supervised learning for improved expression of uncertainty in discriminative classifiers.
Proceedings of the INTERSPEECH 2010, 2010

Online adaptive learning for speech recognition decoding.
Proceedings of the INTERSPEECH 2010, 2010

Interactive Submodular Set Cover.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Evaluation of random-projection-based feature combination on speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2010

Jointly recognizing multi-speaker conversations.
Proceedings of the IEEE International Conference on Acoustics, 2010

Discovering Long Range Properties of Social Networks with Multi-Valued Time-Inhomogeneous Models.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Broad phonetic classification using discriminative Bayesian networks.
Speech Communication, 2009

Active Learning as Non-Convex Optimization.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Average-Case Active Learning with Costs
CoRR, 2009

On the Relationship between DNA Periodicity and Local Chromatin Structure.
Proceedings of the Research in Computational Molecular Biology, 2009

Entropic Graph Regularization in Non-Parametric Semi-Supervised Classification.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Submodularity Cuts and Applications.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Label Selection on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

The semi-supervised switchboard transcription project.
Proceedings of the INTERSPEECH 2009, 2009

On the semi-supervised learning of multi-layered perceptrons.
Proceedings of the INTERSPEECH 2009, 2009

How to loose confidence: probabilistic linear machines for multiclass classification.
Proceedings of the INTERSPEECH 2009, 2009

How to select a good training-data subset for transcription: submodular active selection for sequences.
Proceedings of the INTERSPEECH 2009, 2009

COSINE - A corpus of multi-party COnversational Speech In Noisy Environments.
Proceedings of the IEEE International Conference on Acoustics, 2009

Multi-layer ratio Semi-Definite Classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2009

Modelling the prepausal lengthening effect for speech recognition: a dynamic Bayesian network approach.
Proceedings of the IEEE International Conference on Acoustics, 2009

Improving multi-lattice alignment based spoken keyword spotting.
Proceedings of the IEEE International Conference on Acoustics, 2009

The VoiceBot: a voice controlled robot arm.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

Longitudinal study of people learning to use continuous voice-based cursor control.
Proceedings of the 27th International Conference on Human Factors in Computing Systems, 2009

Graph-based submodular selection for extractive summarization.
Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

Average-Case Active Learning with Costs.
Proceedings of the Algorithmic Learning Theory, 20th International Conference, 2009

Compiling a Massive, Multilingual Dictionary via Probabilistic Inference.
Proceedings of the ACL 2009, 2009

2008
Transmembrane Topology and Signal Peptide Prediction Using Dynamic Bayesian Networks.
PLoS Computational Biology, 2008

Modeling peptide fragmentation with dynamic Bayesian networks for peptide identification.
Proceedings of the Proceedings 16th International Conference on Intelligent Systems for Molecular Biology (ISMB), 2008

Order-based Discriminative Structure Learning for Bayesian Network Classifiers.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Practical Methods for Exploiting Bounds on Change in the Margin.
Proceedings of the International Symposium on Artificial Intelligence and Mathematics, 2008

Applications of virtual-evidence based speech recognizer training.
Proceedings of the INTERSPEECH 2008, 2008

Spoken keyword spotting via multi-lattice alignment.
Proceedings of the INTERSPEECH 2008, 2008

Using syllable nuclei locations to improve automatic speech recognition in the presence of burst noise.
Proceedings of the INTERSPEECH 2008, 2008

Ratio semi-definite classifiers.
Proceedings of the IEEE International Conference on Acoustics, 2008

Polyphase speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2008

Towards the automated social analysis of situated speech data.
Proceedings of the UbiComp 2008: Ubiquitous Computing, 10th International Conference, 2008

Soft-Supervised Learning for Text Classification.
Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

Learning Hidden Curved Exponential Family Models to Infer Face-to-Face Interaction Networks from Situated Speech Data.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

Structure Learning on Large Scale Common Sense Statistical Models of Human State.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
MVA Processing of Speech Features.
IEEE Trans. Audio, Speech & Language Processing, 2007

A Bayesian Divergence Prior for Classiffier Adaptation.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Consensus ranking under the exponential model.
Proceedings of the UAI 2007, 2007

Virtual Evidence for Training Speech Recognizers Using Partially Labeled Data.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Generalized Graphical Abstractions for Statistical Machine Translation.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2007

Conversation detection and speaker segmentation in privacy-sensitive situated speech data.
Proceedings of the INTERSPEECH 2007, 2007

Attention shift decoding for conversational speech recognition.
Proceedings of the INTERSPEECH 2007, 2007

A Privacy-Sensitive Approach to Modeling Multi-Person Conversations.
Proceedings of the IJCAI 2007, 2007

Local Search for Balanced Submodular Clusterings.
Proceedings of the IJCAI 2007, 2007

Disambiguating speech commands using physical context.
Proceedings of the 9th International Conference on Multimodal Interfaces, 2007

Demo of VJ-Voicebot: control of robotic arm with the Vocal Joystick.
Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility, 2007

Uncertainty in training large vocabulary speech recognizers.
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007

OOV detection by joint word/phone lattice alignment.
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007

Submodularity and adaptation.
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007

Use of syllable nuclei locations to improve ASR.
Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007

Learning Large Scale Common Sense Models of Everyday Life.
Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, 2007

2006
A high-speed, low-resource ASR back-end based on custom arithmetic.
IEEE Trans. Audio, Speech & Language Processing, 2006

What HMMs Can Do.
IEICE Transactions, 2006

Morphology-based language modeling for conversational Arabic speech recognition.
Computer Speech & Language, 2006

Algorithms for data-driven ASR parameter quantization.
Computer Speech & Language, 2006

Recognizing Activities and Spatial Context Using Wearable Sensors.
Proceedings of the UAI '06, 2006

Non-Minimal Triangulations for Mixed Stochastic/Deterministic Graphical Models.
Proceedings of the UAI '06, 2006

Graphical Model Representations of Word Lattices.
Proceedings of the 2006 IEEE ACL Spoken Language Technology Workshop, 2006

Multi-dynamic Bayesian Networks.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Backoff Model Training using Partially Observed Data: Application to Dialog Act Tagging.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Hierarchical Models for Activity Recognition.
Proceedings of the IEEE 8th Workshop on Multimedia Signal Processing, 2006

Rao-Blackwellized Particle Filters for Recognizing Activities and Spatial Context from Wearable Sensors.
Proceedings of the Experimental Robotics, 2006

An online adaptive filtering algorithm for the vocal joystick.
Proceedings of the INTERSPEECH 2006, 2006

The vocal joystick data collection effort and vowel corpus.
Proceedings of the INTERSPEECH 2006, 2006

A Factored Language Model of Quantized Pitch and Duration.
Proceedings of the 2006 International Computer Music Conference, 2006

Regularized Adaptation of Discriminative Classifiers.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

The Vocal Joystick.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

The vocal joystick: : evaluation of voice-based cursor control techniques.
Proceedings of the 8th International ACM SIGACCESS Conference on Computers and Accessibility, 2006

2005
Feature pruning for low-power ASR systems in clean and noisy environments.
IEEE Signal Process. Lett., 2005

A Submodular-supermodular Procedure with Applications to Discriminative Structure Learning.
Proceedings of the UAI '05, 2005

Q-Clustering.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Part-of-Speech Tagging using Virtual Evidence and Negative Training.
Proceedings of the HLT/EMNLP 2005, 2005

The Vocal Joystick: A Voice-Based Human-Computer Interface for Individuals with Motor Impairments.
Proceedings of the HLT/EMNLP 2005, 2005

Focused word segmentation for ASR.
Proceedings of the INTERSPEECH 2005, 2005

Maximum margin learning and adaptation of MLP classifiers.
Proceedings of the INTERSPEECH 2005, 2005

SVitchboard 1: small vocabulary tasks from Switchboard.
Proceedings of the INTERSPEECH 2005, 2005

Genetic triangulation of graphical models for speech and language processing.
Proceedings of the INTERSPEECH 2005, 2005

Discriminative versus generative parameter and structure learning of Bayesian network classifiers.
Proceedings of the Machine Learning, 2005

A Generative/Discriminative Learning Algorithm for Image Classification.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

A Graphical Model for Formant Tracking.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

DBN-Based Multi-stream Models for Mandarin Toneme Recognition.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Dialog Act Tagging Using Graphical Models.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Speech Feature Smoothing for Robust ASR.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

A Dynamic Bayesian Framework to Model Context and Memory in Edit Distance Learning: An Application to Pronunciation Classification.
Proceedings of the ACL 2005, 2005

2004
Statistical Models for Empirical Search-Based Performance Tuning.
IJHPCA, 2004

PAC-learning Bounded Tree-width Graphical Models.
Proceedings of the UAI '04, 2004

Optimal sub-graphical models.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Graphical model approach to pitch tracking.
Proceedings of the INTERSPEECH 2004, 2004

Object Class Recognition using Images of Abstract Regions.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Custom arithmetic for high-speed, low-resource ASR systems.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Codebook design for ASR systems using custom arithmetic units.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

DBN based multi-stream models for audio-visual speech recognition.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Hidden-articulator Markov models for speech recognition.
Speech Communication, 2003

Generalized rules for combination and joint training of classifiers.
Pattern Anal. Appl., 2003

Introduction to the special issue on new computational paradigms for acoustic modeling in speech recognition.
Computer Speech & Language, 2003

Buried Markov models: a graphical-modeling approach to automatic speech recognition.
Computer Speech & Language, 2003

On Triangulating Dynamic Graphical Models.
Proceedings of the UAI '03, 2003

Necessary Intransitive Likelihood-Ratio Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

Factored Language Models and Generalized Parallel Backoff.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003

Hidden feature models for speech recognition using dynamic Bayesian networks.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Novel approaches to Arabic speech recognition: report from the 2002 Johns-Hopkins Summer Workshop.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

DBN based multi-stream models for speech.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Data-driven vector clustering for low-memory footprint ASR.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Frontend post-processing and backend model enhancement on the Aurora 2.0/3.0 databases.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Low-resource noise-robust feature post-processing on Aurora 2.0.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

The 2001 GMTK-based SPINE ASR system.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Structurally discriminative graphical models for automatic speech recognition - results from the 2001 Johns Hopkins Summer Workshop.
Proceedings of the IEEE International Conference on Acoustics, 2002

Mixed-memory Markov models for Automatic Language Identification.
Proceedings of the IEEE International Conference on Acoustics, 2002

Robust splicing costs and efficient search with BMM Models for concatenative speech synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2002

The graphical models toolkit: An open source software system for speech and time-series processing.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Intransitive Likelihood-Ratio Classifiers.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Statistical Models for Automatic Performance Tuning.
Proceedings of the Computational Science - ICCS 2001, 2001

2000
Dynamic Bayesian Multinets.
Proceedings of the UAI '00: Proceedings of the 16th Conference in Uncertainty in Artificial Intelligence, Stanford University, Stanford, California, USA, June 30, 2000

Hidden-articulator Markov models: performance improvements and robustness to noise.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Using mutual information to design feature combinations.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Directed graphical models of classifier combination: application to phone recognition.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Factored sparse inverse covariance matrices.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Dynamic classifier combination in hybrid speech recognition systems using utterance-level confidence values.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Buried Markov models for speech recognition.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Data-driven extensions to HMM statistical dependencies.
Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998

Maximum mutual information based reduction strategies for cross-correlation based joint distributional modeling.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Optimizing Matrix Multiply Using PHiPAC: A Portable, High-Performance, ANSI C Coding Methodology.
Proceedings of the 11th international conference on Supercomputing, 1997

Using PHiPAC to speed error back-propagation learning.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Stochastic perceptual speech models with durational dependence.
Proceedings of the 4th International Conference on Spoken Language Processing, 1996

1993
Techniques to Foster Drum Machine Expressivity.
Proceedings of the Opening a New Horizon: Proceedings of the 1993 International Computer Music Conference, 1993

1992
The Ring Array Processor: A Multiprocessing Peripheral for Connection Applications.
J. Parallel Distrib. Comput., 1992

A Model for Musical Rhythm.
Proceedings of the 1992 International Computer Music Conference, 1992

1991
Tree-Based Access Methods for Spatial Databases: Implementation and Performance Evaluation.
IEEE Trans. Knowl. Data Eng., 1991

Software for ANN Training on a Ring Array Processor.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991

Concurrent Real-Time Music in C++.
Proceedings of the C++ Conference. Washington, D.C., USA, April 1991, 1991

1989
The Implementation of the Cell Tree: Design Alternatives and Performance Evaluation.
Proceedings of the Datenbanksysteme in Büro, 1989


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