Brian Kingsbury

According to our database1, Brian Kingsbury authored at least 102 papers between 1995 and 2018.

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Bibliography

2018
Estimating Information Flow in Neural Networks.
CoRR, 2018

Beyond Backprop: Alternating Minimization with co-Activation Memory.
CoRR, 2018

Building Competitive Direct Acoustics-to-Word Models for English Conversational Speech Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
Parallel Deep Neural Network Training for Big Data on Blue Gene/Q.
IEEE Trans. Parallel Distrib. Syst., 2017

Introduction to the Special Issue on End-to-End Speech and Language Processing.
J. Sel. Topics Signal Processing, 2017

End-to-End ASR-Free Keyword Search From Speech.
J. Sel. Topics Signal Processing, 2017

Building competitive direct acoustics-to-word models for English conversational speech recognition.
CoRR, 2017

Kernel Approximation Methods for Speech Recognition.
CoRR, 2017

End-to-End ASR-free Keyword Search from Speech.
CoRR, 2017

Accelerating deep neural network learning for speech recognition on a cluster of GPUs.
Proceedings of the Machine Learning on HPC Environments, 2017

Network architectures for multilingual speech representation learning.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Knowledge distillation across ensembles of multilingual models for low-resource languages.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

End-to-end ASR-free keyword search from speech.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
A Comparison between Deep Neural Nets and Kernel Acoustic Models for Speech Recognition.
CoRR, 2016

Multilingual Data Selection for Low Resource Speech Recognition.
Proceedings of the Interspeech 2016, 2016

Improved Neural Network Initialization by Grouping Context-Dependent Targets for Acoustic Modeling.
Proceedings of the Interspeech 2016, 2016

Very deep multilingual convolutional neural networks for LVCSR.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Compact kernel models for acoustic modeling via random feature selection.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A comparison between deep neural nets and kernel acoustic models for speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Efficient one-vs-one kernel ridge regression for speech recognition.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Data Augmentation for Deep Neural Network Acoustic Modeling.
IEEE/ACM Trans. Audio, Speech & Language Processing, 2015

Deep Convolutional Neural Networks for Large-scale Speech Tasks.
Neural Networks, 2015

Very Deep Multilingual Convolutional Neural Networks for LVCSR.
CoRR, 2015

A multi-region deep neural network model in speech recognition.
Proceedings of the INTERSPEECH 2015, 2015

Order-free spoken term detection.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Data augmentation for deep convolutional neural network acoustic modeling.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Multilingual representations for low resource speech recognition and keyword search.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

2014
How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets.
CoRR, 2014

Parallel Deep Neural Network Training for Big Data on Blue Gene/Q.
Proceedings of the International Conference for High Performance Computing, 2014

Deep scattering spectra with deep neural networks for LVCSR tasks.
Proceedings of the INTERSPEECH 2014, 2014

Parallel deep neural network training for LVCSR tasks using blue gene/Q.
Proceedings of the INTERSPEECH 2014, 2014

Recent improvements in neural network acoustic modeling for LVCSR in low resource languages.
Proceedings of the INTERSPEECH 2014, 2014

Improving deep neural network acoustic modeling for audio corpus indexing under the IARPA babel program.
Proceedings of the INTERSPEECH 2014, 2014

Improvements to filterbank and delta learning within a deep neural network framework.
Proceedings of the IEEE International Conference on Acoustics, 2014

Efficient spoken term detection using confusion networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

Automatic keyword selection for keyword search development and tuning.
Proceedings of the IEEE International Conference on Acoustics, 2014

Data Augmentation for deep neural network acoustic modeling.
Proceedings of the IEEE International Conference on Acoustics, 2014

2013
Optimization Techniques to Improve Training Speed of Deep Neural Networks for Large Speech Tasks.
IEEE Trans. Audio, Speech & Language Processing, 2013

Improvements to deep convolutional neural networks for LVCSR.
CoRR, 2013

Improving training time of Hessian-free optimization for deep neural networks using preconditioning and sampling.
CoRR, 2013

The IBM speech activity detection system for the DARPA RATS program.
Proceedings of the INTERSPEECH 2013, 2013

Mixtures of Bayesian joint factor analyzers for noise robust automatic speech recognition.
Proceedings of the INTERSPEECH 2013, 2013

Deep convolutional neural networks for LVCSR.
Proceedings of the IEEE International Conference on Acoustics, 2013

Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets.
Proceedings of the IEEE International Conference on Acoustics, 2013

Exploiting diversity for spoken term detection.
Proceedings of the IEEE International Conference on Acoustics, 2013

System combination and score normalization for spoken term detection.
Proceedings of the IEEE International Conference on Acoustics, 2013

A high-performance Cantonese keyword search system.
Proceedings of the IEEE International Conference on Acoustics, 2013

Audio-visual deep learning for noise robust speech recognition.
Proceedings of the IEEE International Conference on Acoustics, 2013

New types of deep neural network learning for speech recognition and related applications: an overview.
Proceedings of the IEEE International Conference on Acoustics, 2013

Developing speech recognition systems for corpus indexing under the IARPA Babel program.
Proceedings of the IEEE International Conference on Acoustics, 2013

An empirical study of confusion modeling in keyword search for low resource languages.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

Learning filter banks within a deep neural network framework.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

Improvements to Deep Convolutional Neural Networks for LVCSR.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

Accelerating Hessian-free optimization for Deep Neural Networks by implicit preconditioning and sampling.
Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012
Deep Neural Network Language Models.
Proceedings of the Workshop: Will We Ever Really Replace the N-gram Model? On the Future of Language Modeling for HLT, 2012

Discriminative feature-space transforms using deep neural networks.
Proceedings of the INTERSPEECH 2012, 2012

Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization.
Proceedings of the INTERSPEECH 2012, 2012

Auto-encoder bottleneck features using deep belief networks.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

2011
Trends and advances in speech recognition.
IBM Journal of Research and Development, 2011

Artificial intelligence research at IBM.
IBM Journal of Research and Development, 2011

The IBM 2009 GALE Arabic speech transcription system.
Proceedings of the IEEE International Conference on Acoustics, 2011

Arccosine kernels: Acoustic modeling with infinite neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2011

Making Deep Belief Networks effective for large vocabulary continuous speech recognition.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

The IBM 2011 GALE Arabic speech transcription system.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010
The IBM Attila speech recognition toolkit.
Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

Rapid and inexpensive development of speech action classifiers for natural language call routing systems.
Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

The IBM 2008 GALE Arabic speech transcription system.
Proceedings of the IEEE International Conference on Acoustics, 2010

2009
Advances in Arabic Speech Transcription at IBM Under the DARPA GALE Program.
IEEE Trans. Audio, Speech & Language Processing, 2009

Tied-Mixture Language Modeling in Continuous Space.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Fast decoding for open vocabulary spoken term detection.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, Proceedings, May 31, 2009

Lattice-based optimization of sequence classification criteria for neural-network acoustic modeling.
Proceedings of the IEEE International Conference on Acoustics, 2009

2008
Machine translation in continuous space.
Proceedings of the INTERSPEECH 2008, 2008

Monte Carlo model-space noise adaptation for speech recognition.
Proceedings of the INTERSPEECH 2008, 2008

Discriminative graph training for ultra-fast low-footprint speech indexing.
Proceedings of the INTERSPEECH 2008, 2008

Boosted MMI for model and feature-space discriminative training.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
The IBM 2006 Gale Arabic ASR System.
Proceedings of the IEEE International Conference on Acoustics, 2007

Evaluation of Proposed Modifications to MPE for Large Scale Discriminative Training.
Proceedings of the IEEE International Conference on Acoustics, 2007

Discriminative Training of Decoding Graphs for Large Vocabulary Continuous Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Pseudo pitch synchronous analysis of speech with applications to speaker recognition.
IEEE Trans. Audio, Speech & Language Processing, 2006

Advances in speech transcription at IBM under the DARPA EARS program.
IEEE Trans. Audio, Speech & Language Processing, 2006

Automated Quality Monitoring for Call Centers using Speech and NLP Technologies.
Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Automated Quality Monitoring in the Call Center with ASR and Maximum Entropy.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
The IBM 2004 Conversational Telephony System for Rich Transcription.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Contructing Ensembles of ASR Systems Using Randomized Decision Trees.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

fMPE: Discriminatively Trained Features for Speech Recognition.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
An evaluation of a nonlinear feature transformation for conversational speech recognition.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
An architecture for rapid decoding of large vocabulary conversational speech.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Toward domain-independent conversational speech recognition.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Large vocabulary conversational speech recognition with a subspace constraint on inverse covariance matrices.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

2002
Automatic speech recognition performance on a voicemail transcription task.
IEEE Trans. Speech and Audio Processing, 2002

A hybrid HMM/traps model for robust voice activity detection.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Distributed speech recognition using noise-robust MFCC and traps-estimated manner features.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Large vocabulary conversational speech recognition with the extended maximum likelihood linear transformation (EMLLT) model.
Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

Robust speech recognition in Noisy Environments: The 2001 IBM spine evaluation system.
Proceedings of the IEEE International Conference on Acoustics, 2002

2000
Recent improvements in speech recognition performance on large vocabulary conversational speech (voicemail and switchboard).
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

1998
Robust speech recognition using the modulation spectrogram.
Speech Communication, 1998

Performance improvements through combining phone- and syllable-scale information in automatic speech recognition.
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

Incorporating information from syllable-length time scales into automatic speech recognition.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

1997
Recognizing reverberant speech with RASTA-PLP.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

The modulation spectrogram: in pursuit of an invariant representation of speech.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
Spert-II: A Vector Microprocessor System.
IEEE Computer, 1996

1995
SPERT-II: A Vector Microprocessor System and its Application to Large Problems in Backpropagation Training.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995


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