Peder A. Olsen

发表

Acoustic Modeling with Bootstrap and Restructuring Based on Full Covariance

Xiaodong Cui, Xin Chen, John R. Hershey, 2011, INTERSPEECH.

Dimensional reduction, covariance modeling, and computational complexity in ASR systems

Scott Axelrod, Peder A. Olsen, Ramesh A. Gopinath, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Hierarchical variational loopy belief propagation for multi-talker speech recognition

John R. Hershey, Peder A. Olsen, Steven J. Rennie, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Discriminative estimation of subspace precision and mean (SPAM) models

Scott Axelrod, Vaibhava Goel, Peder A. Olsen, 2003, INTERSPEECH.

Modeling with a subspace constraint on inverse covariance matrices

Scott Axelrod, Peder A. Olsen, Ramesh A. Gopinath, 2002, INTERSPEECH.

Newton-Like Methods for Sparse Inverse Covariance Estimation

Jorge Nocedal, Peder A. Olsen, Figen Öztoprak, 2012, NIPS.

Refactoring acoustic models using variational expectation-maximization

Vaibhava Goel, John R. Hershey, Peder A. Olsen, 2009, INTERSPEECH.

Maximum likelihood estimates for exponential type density families

Peder A. Olsen, Charles A. Micchelli, Sankar Basu, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Affine invariant sparse maximum a posteriori adaptation

Jing Huang, Vaibhava Goel, Peder A. Olsen, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Transcription of broadcast news with a time constraint: IBM's 10xRT HUB4 system

Benoît Maison, Mark J. F. Gales, Peder A. Olsen, 2000, INTERSPEECH.

Refactoring acoustic models using variational density approximation

Vaibhava Goel, John R. Hershey, Peder A. Olsen, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Single-channel speech separation and recognition using loopy belief propagation

John R. Hershey, Peder A. Olsen, Steven J. Rennie, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Single-Channel Multitalker Speech Recognition

John R. Hershey, Peder A. Olsen, Steven J. Rennie, 2010, IEEE Signal Processing Magazine.

Removing Clouds and Recovering Ground Observations in Satellite Image Sequences via Temporally Contiguous Robust Matrix Completion

Peder A. Olsen, Andrew R. Conn, Jialei Wang, 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

QUIC & DIRTY: A Quadratic Approximation Approach for Dirty Statistical Models

Peder A. Olsen, Pradeep Ravikumar, Inderjit S. Dhillon, 2014, NIPS.

State of the art discriminative training of subspace constrained Gaussian mixture models in big training corpora

Jing Huang, Vaibhava Goel, Peder A. Olsen, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Voicing features for robust speech detection

Peder A. Olsen, Trausti T. Kristjansson, Sabine Deligne, 2005, INTERSPEECH.

Front-end feature transforms with context filtering for speaker adaptation

Jing Huang, Vaibhava Goel, Peder A. Olsen, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Large vocabulary conversational speech recognition with the extended maximum likelihood linear transformation (EMLLT) model

Jing Huang, Brian Kingsbury, Vaibhava Goel, 2002, INTERSPEECH.

Initializing subspace constrained Gaussian mixture models

Peder A. Olsen, Ramesh A. Gopinath, Karthik Visweswariah, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Feature adaptation using projection of Gaussian posteriors

Peder A. Olsen, Karthik Visweswariah, 2005, INTERSPEECH.

Discriminative training for full covariance models

Vaibhava Goel, Peder A. Olsen, Steven J. Rennie, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Crowd Counting with Decomposed Uncertainty pdf

Peder A. Olsen, Karthikeyan Natesan Ramamurthy, Min-hwan Oh, 2019, AAAI.

IBM's LVCSR system for transcription of broadcast news used in the 1997 hub4 english evaluation

Peder A. Olsen, Ramesh A. Gopinath, Ponani S. Gopalakrishnan, 1998 .

Variational Bhattacharyya divergence for hidden Markov models

John R. Hershey, Peder A. Olsen, J. Hershey, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Nuclear Norm Minimization via Active Subspace Selection

Peder A. Olsen, Cho-Jui Hsieh, Cho-Jui Hsieh, 2014, ICML.

An efficient integrated gender detection scheme and time mediated averaging of gender dependent acoustic models

Peder A. Olsen, Satya Dharanipragada, 2003, INTERSPEECH.

Extended MLLT for Gaussian Mixture Models

Peder A. Olsen, Ramesh A. Gopinath, P. Olsen, 2001 .

Variational Kullback-Leibler divergence for Hidden Markov models

John R. Hershey, Peder A. Olsen, Steven J. Rennie, 2007, 2007 IEEE Workshop on Automatic Speech Recognition & Understanding (ASRU).

Optimal quantization and bit allocation for compressing large discriminative feature space transforms

Vaibhava Goel, Peder A. Olsen, Etienne Marcheret, 2009, 2009 IEEE Workshop on Automatic Speech Recognition & Understanding.

Modeling inverse covariance matrices by basis expansion

Peder A. Olsen, Ramesh A. Gopinath, 2004, IEEE Trans. Speech Audio Process..

Rapid feature space MLLR speaker adaptation with bilinear models

Peder A. Olsen, Yong Qin, Shilei Zhang, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Efficient model-based speech separation and denoising using non-negative subspace analysis

John R. Hershey, Peder A. Olsen, Steven J. Rennie, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

A fast, accurate approximation to log likelihood of Gaussian mixture models

Vaibhava Goel, John R. Hershey, Peder A. Olsen, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Accelerated Monte Carlo for Kullback-Leibler divergence between Gaussian mixture models

John R. Hershey, Peder A. Olsen, Emmanuel Yashchin, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Bhattacharyya error and divergence using variational importance sampling

John R. Hershey, Peder A. Olsen, 2007, INTERSPEECH.

Speech recognition for DARPA Communicator

Bhuvana Ramabhadran, George Saon, Michael Picheny, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Single Channel Speech Separation Using Factorial Dynamics

John R. Hershey, Peder A. Olsen, Trausti T. Kristjansson, 2006, NIPS.

Recent improvements to IBM's speech recognition system for automatic transcription of broadcast news

Mark J. F. Gales, Peder A. Olsen, Ramesh A. Gopinath, 1999, 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings. ICASSP99 (Cat. No.99CH36258).

Optimizing speech recognition grammars using a measure of similarity between hidden Markov models

Vaibhava Goel, John R. Hershey, Peder A. Olsen, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

IBM's 10xReal-time broadcast news transciption used in the 1999 hub4 evaluation

Peder A. Olsen, Miroslav Novak, Lidia Mangu, 2000 .

Improving Simple Models with Confidence Profiles

Amit Dhurandhar, Peder A. Olsen, Karthikeyan Shanmugam, 2018, NeurIPS.

Detecting and Counting Panicles in Sorghum Images

Peder A. Olsen, Karthikeyan Natesan Ramamurthy, Naoki Abe, 2018, 2018 IEEE 5th International Conference on Data Science and Advanced Analytics (DSAA).

Gaussian mixture modeling with volume preserving nonlinear feature space transforms

Scott Axelrod, Peder A. Olsen, Ramesh A. Gopinath, 2003, 2003 IEEE Workshop on Automatic Speech Recognition and Understanding (IEEE Cat. No.03EX721).

Word confusability - measuring hidden Markov model similarity

John R. Hershey, Peder A. Olsen, Jia-Yu Chen, 2007, INTERSPEECH.

Sparse Maximum A Posteriori adaptation

Jing Huang, Vaibhava Goel, Peder A. Olsen, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Managing healthcare costs by peer-group modeling

Peder A. Olsen, Casimir A. Kulikowski, Sholom M. Weiss, 2015, Applied Intelligence.

Adaptation experiments on the SPINE database with the Extended Maximum Likelihood Linear Transformation (EMLLT) model

Vaibhava Goel, Peder A. Olsen, Ramesh A. Gopinath, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Hidden Markov Acoustic Modeling With Bootstrap and Restructuring for Low-Resourced Languages

John R. Hershey, Peder A. Olsen, Bowen Zhou, 2012, IEEE Transactions on Audio, Speech, and Language Processing.

Super-human multi-talker speech recognition: the IBM 2006 speech separation challenge system

John R. Hershey, Peder A. Olsen, Ramesh A. Gopinath, 2006, INTERSPEECH.

Approximating the Kullback Leibler Divergence Between Gaussian Mixture Models

John R. Hershey, Peder A. Olsen, J. Hershey, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Modeling inverse covariance matrices by basis expansion

Peder A. Olsen, Ramesh A. Gopinath, P. Olsen, 2002, IEEE Transactions on Speech and Audio Processing.

A-Functions: A generalization of Extended Baum-Welch transformations to convex optimization

Tara N. Sainath, Bhuvana Ramabhadran, Peder A. Olsen, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Acoustic modeling using exponential families

Vaibhava Goel, Peder A. Olsen, 2009, INTERSPEECH.

Second Order Methods for Optimizing Convex Matrix Functions and Sparse Covariance Clustering

Jorge Nocedal, Peder A. Olsen, Steven J. Rennie, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Graphical Models for Identifying Fraud and Waste in Healthcare Claims

Peder A. Olsen, Sholom M. Weiss, Ramesh Natarajan, 2014, SDM.

Incorporating sparse representation phone identification features in automatic speech recognition using exponential families

Tara N. Sainath, Bhuvana Ramabhadran, Vaibhava Goel, 2010, INTERSPEECH.

A variational approach to stable principal component pursuit

Volkan Cevher, Peder A. Olsen, Stephen Becker, 2014, UAI.

Restructuring exponential family mixture models

Vaibhava Goel, John R. Hershey, Peder A. Olsen, 2010, INTERSPEECH.

Transcription of broadcast news-some recent improvements to IBM's LVCSR system

Peder A. Olsen, Ramesh A. Gopinath, Ponani S. Gopalakrishnan, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

A note on irregular discrete wavelet transforms

Peder A. Olsen, Kristian Seip, 1992, IEEE Trans. Inf. Theory.

Fast clustering of Gaussians and the virtue of representing Gaussians in exponential model format

Peder A. Olsen, Karthik Visweswariah, 2004, INTERSPEECH.

Modeling posterior probabilities using the linear exponential family

Vaibhava Goel, John R. Hershey, Peder A. Olsen, 2010, INTERSPEECH.

Dynamic Noise Adaptation

Peder A. Olsen, Ramesh A. Gopinath, Trausti T. Kristjansson, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

The Iroquois model: using temporal dynamics to separate speakers

John R. Hershey, Peder A. Olsen, Trausti T. Kristjansson, 2006, SAPA@INTERSPEECH.

Maximum likelihood training of subspaces for inverse covariance modeling

Scott Axelrod, Peder A. Olsen, Ramesh A. Gopinath, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Compacting discriminative feature space transforms for embedded devices

Vaibhava Goel, Peder A. Olsen, Petr Fousek, 2009, INTERSPEECH.

Subspace constrained Gaussian mixture models for speech recognition

Scott Axelrod, Vaibhava Goel, Peder A. Olsen, 2005, IEEE Transactions on Speech and Audio Processing.

Super-human multi-talker speech recognition: A graphical modeling approach

John R. Hershey, Peder A. Olsen, Trausti T. Kristjansson, 2010, Comput. Speech Lang..

Clustering of bootstrapped acoustic model with full covariance

Xiaodong Cui, Xin Chen, John R. Hershey, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Theory and practice of acoustic confusability

Peder A. Olsen, Harry Printz, P. Olsen, 2002, Comput. Speech Lang..

Tail distribution modelling using the richter and power exponential distributions

Mark J. F. Gales, Peder A. Olsen, 1999, EUROSPEECH.

Low-resource hidden Markov model speech recognition

Benoît Maison, Peder A. Olsen, Ramesh A. Gopinath, 2001, INTERSPEECH.

A robust high accuracy speech recognition system for mobile applications

Benoît Maison, Peder A. Olsen, Ramesh A. Gopinath, 2002, IEEE Trans. Speech Audio Process..

Signal interaction and the devil function

John R. Hershey, Peder A. Olsen, Steven J. Rennie, 2010, INTERSPEECH.

Automatic transcription of Broadcast News

Mark J. F. Gales, Peder A. Olsen, Ramesh A. Gopinath, 2002, Speech Commun..

Discriminative Estimation of Subspace Constrained Gaussian Mixture Models for Speech Recognition

Scott Axelrod, Vaibhava Goel, Peder A. Olsen, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Seeing Through Clouds in Satellite Images pdf

Ranveer Chandra, Peder A. Olsen, Mingmin Zhao, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Power Exponential Densities for the Training and Classification of Acoustic Feature Vectors in Speech Recognition

Peder A. Olsen, Charles A. Micchelli, C. Micchelli, 2001 .