Brian Kingsbury

发表

Learning filter banks within a deep neural network framework

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Auto-encoder bottleneck features using deep belief networks

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2012, 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Overview of the SPRACH System for the Transcription of Broadcast News

Brian Kingsbury, Daniel P. W. Ellis, Steve Renals, 1999 .

End-to-end ASR-free keyword search from speech

Brian Kingsbury, Bhuvana Ramabhadran, Andrew Rosenberg, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Constructing ensembles of ASR systems using randomized decision trees

Brian Kingsbury, Bhuvana Ramabhadran, Olivier Siohan, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Spert-II: A Vector Microprocessor System

Brian Kingsbury, John Wawrzynek, Krste Asanovic, 1996, Computer.

The T0 Vector Microprocessor

Brian Kingsbury, John Wawrzynek, Krste Asanovic, 2011 .

Automatic keyword selection for keyword search development and tuning

Brian Kingsbury, Bhuvana Ramabhadran, Jia Cui, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improved Neural Network Initialization by Grouping Context-Dependent Targets for Acoustic Modeling

Brian Kingsbury, Gakuto Kurata, 2016, INTERSPEECH.

SPERT-II: a vector microprocessor system and its application to large problems in backpropagation training

Brian Kingsbury, John Wawrzynek, Krste Asanovic, 1996, Proceedings of Fifth International Conference on Microelectronics for Neural Networks.

An evaluation of a nonlinear feature transformation for conversational speech recognition

Brian Kingsbury, Mohamed K. Omar, 2004, 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Advances in speech transcription at IBM under the DARPA EARS program

Geoffrey Zweig, Brian Kingsbury, George Saon, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Automatic Speech Recognition

Brian Kingsbury, George Saon, Hagen Soltau, 2014, NLP of Semitic Languages.

Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets

Ebru Arisoy, Tara N. Sainath, Brian Kingsbury, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

A Kolmogorov Complexity Approach to Generalization in Deep Learning

Brian Kingsbury, Kush R. Varshney, Hazar Yueksel, 2019 .

Fast Training of Deep Neural Networks for Speech Recognition

Brian Kingsbury, Guojing Cong, Chih-Chieh Yang, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Large vocabulary conversational speech recognition with a subspace constraint on inverse covariance matrices

Brian Kingsbury, Scott Axelrod, Vaibhava Goel, 2003, INTERSPEECH.

A comparison between deep neural nets and kernel acoustic models for speech recognition

Brian Kingsbury, Michael Picheny, Michael Collins, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Data Augmentation for Deep Neural Network Acoustic Modeling

Xiaodong Cui, Brian Kingsbury, Vaibhava Goel, 2015, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Multilingual Data Selection for Low Resource Speech Recognition

Brian Kingsbury, Bhuvana Ramabhadran, Jia Cui, 2016, INTERSPEECH.

Parallel Deep Neural Network Training for Big Data on Blue Gene/Q

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2017, IEEE Trans. Parallel Distributed Syst..

Advances in Arabic Speech Transcription at IBM Under the DARPA GALE Program

Brian Kingsbury, George Saon, Hagen Soltau, 2009, IEEE Transactions on Audio, Speech, and Language Processing.

Network architectures for multilingual speech representation learning

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Estimating Information Flow in Deep Neural Networks

Brian Kingsbury, Kristjan H. Greenewald, Ziv Goldfeld, 2018, ICML.

Accelerating deep neural network learning for speech recognition on a cluster of GPUs

Brian Kingsbury, George Saon, Fan Zhou, 2017, MLHPC@SC.

Knowledge distillation across ensembles of multilingual models for low-resource languages

Brian Kingsbury, Bhuvana Ramabhadran, George Saon, 2017, 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Developing speech recognition systems for corpus indexing under the IARPA Babel program

Xiaodong Cui, Tara N. Sainath, Brian Kingsbury, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Estimating Information Flow in DNNs

Brian Kingsbury, Ziv Goldfeld, Ewout van den Berg, 2018 .

Distributed Deep Learning Strategies for Automatic Speech Recognition

Xiaodong Cui, Brian Kingsbury, George Saon, 2019, ICASSP 2019 - 2019 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.

The shared views of four research groups )

Tara N. Sainath, Brian Kingsbury, Geoffrey E. Hinton, 2012 .

A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition pdf

Brian Kingsbury, George Saon, Michael Picheny, 2019, INTERSPEECH.

Data augmentation for deep convolutional neural network acoustic modeling

Xiaodong Cui, Brian Kingsbury, Vaibhava Goel, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Discriminative Training of Decoding Graphs for Large Vocabulary Continuous Speech Recognition

Geoffrey Zweig, Brian Kingsbury, Hong-Kwang Jeff Kuo, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Improvements to the IBM speech activity detection system for the DARPA RATS program

Brian Kingsbury, George Saon, Hagen Soltau, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Robust speech recognition using the modulation spectrogram

Steven Greenberg, Brian Kingsbury, Nelson Morgan, 1998, Speech Commun..

Mixtures of Bayesian joint factor analyzers for noise robust automatic speech recognition

Xiaodong Cui, Brian Kingsbury, Vaibhava Goel, 2013, INTERSPEECH.

Robust speech recognition in Noisy Environments: The 2001 IBM spine evaluation system

Brian Kingsbury, George Saon, Ruhi Sarikaya, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Audio-visual deep learning for noise robust speech recognition

Jing Huang, Brian Kingsbury, Brian Kingsbury, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Improving training time of Hessian-free optimization for deep neural networks using preconditioning and sampling pdf

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2013, ArXiv.

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos pdf

Brian Kingsbury, Michael Picheny, James Glass, 2020, ArXiv.

An architecture for rapid decoding of large vocabulary conversational speech

Geoffrey Zweig, Brian Kingsbury, George Saon, 2003, INTERSPEECH.

The modulation spectrogram: in pursuit of an invariant representation of speech

Steven Greenberg, Brian Kingsbury, Brian Kingsbury, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Representation Based Meta-Learning for Few-Shot Spoken Intent Recognition

Brian Kingsbury, Samarth Bharadwaj, Shreya Khare, 2020, INTERSPEECH.

Fast decoding for open vocabulary spoken term detection

Brian Kingsbury, Bhuvana Ramabhadran, Jonathan Mamou, 2009, HLT-NAACL.

FUNDAMENTAL TECHNOLOGIES IN MODERN SPEECH RECOGNITION Digital Object Identifier 10.1109/MSP.2012.2205597

Tara N. Sainath, Brian Kingsbury, Geoffrey E. Hinton, 2012 .

Forget a Bit to Learn Better: Soft Forgetting for CTC-Based Automatic Speech Recognition

Brian Kingsbury, George Saon, Michael Picheny, 2019, INTERSPEECH.

The IBM Attila speech recognition toolkit

Brian Kingsbury, George Saon, Hagen Soltau, 2010, 2010 IEEE Spoken Language Technology Workshop.

Making Deep Belief Networks effective for large vocabulary continuous speech recognition

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2011, 2011 IEEE Workshop on Automatic Speech Recognition & Understanding.

Evaluation of Proposed Modifications to MPE for Large Scale Discriminative Training

Brian Kingsbury, Daniel Povey, Brian Kingsbury, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Beyond Backprop: Online Alternating Minimization with Auxiliary Variables

Brian Kingsbury, Viatcheslav Gurev, Djallel Bouneffouf, 2018, ICML.

fMPE: discriminatively trained features for speech recognition

Geoffrey Zweig, Brian Kingsbury, George Saon, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Improvements to filterbank and delta learning within a deep neural network framework

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Introduction to the Special Issue on End-to-End Speech and Language Processing

Brian Kingsbury, Bhuvana Ramabhadran, Mary P. Harper, 2017, IEEE J. Sel. Top. Signal Process..

Discriminative feature-space transforms using deep neural networks

Brian Kingsbury, George Saon, 2012, INTERSPEECH.

End-to-End Spoken Language Understanding Using Transformer Networks and Self-Supervised Pre-Trained Features pdf

Brian Kingsbury, Samuel Thomas, Edmilson Morais, 2020, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Automated Quality Monitoring in the Call Center with ASR and Maximum Entropy

Geoffrey Zweig, Brian Kingsbury, Bhuvana Ramabhadran, 2006, 2006 IEEE International Conference on Acoustics Speech and Signal Processing Proceedings.

Boosted MMI for model and feature-space discriminative training

Brian Kingsbury, Bhuvana Ramabhadran, George Saon, 2008, 2008 IEEE International Conference on Acoustics, Speech and Signal Processing.

Improving deep neural network acoustic modeling for audio corpus indexing under the IARPA babel program

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2014, INTERSPEECH.

Sequence Noise Injected Training for End-to-end Speech Recognition

Brian Kingsbury, George Saon, Kartik Audhkhasi, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Incorporating information from syllable-length time scales into automatic speech recognition

Steven Greenberg, Brian Kingsbury, Nelson Morgan, 1998, Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181).

Reducing errors by increasing the error rate: MLP Acoustic Modeling for Broadcast News Transcription

Brian Kingsbury, Daniel P. W. Ellis, Eric Fosler-Lussier, 1999 .

Monte Carlo model-space noise adaptation for speech recognition

Brian Kingsbury, Daniel Povey, 2008, INTERSPEECH.

The IBM 2006 Gale Arabic ASR System

Geoffrey Zweig, Brian Kingsbury, George Saon, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Leveraging Unpaired Text Data for Training End-To-End Speech-to-Intent Systems

Brian Kingsbury, Michael Picheny, Samuel Thomas, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Toward domain-independent conversational speech recognition

Geoffrey Zweig, Brian Kingsbury, George Saon, 2003, INTERSPEECH.

Pseudo Pitch Synchronous Analysis of Speech With Applications to Speaker Recognition

Brian Kingsbury, Jirí Navrátil, Ganesh N. Ramaswamy, 2006, IEEE Transactions on Audio, Speech, and Language Processing.

Accelerating Hessian-free optimization for Deep Neural Networks by implicit preconditioning and sampling

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

The IBM 2004 conversational telephony system for rich transcription

Geoffrey Zweig, Brian Kingsbury, George Saon, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Efficient spoken term detection using confusion networks

Brian Kingsbury, Hagen Soltau, Michael Picheny, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improvements to Deep Convolutional Neural Networks for LVCSR

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Compact kernel models for acoustic modeling via random feature selection

Brian Kingsbury, Michael Collins, Avner May, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Recent improvements in neural network acoustic modeling for LVCSR in low resource languages

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2014, INTERSPEECH.

Recognizing reverberant speech with RASTA-PLP

Brian Kingsbury, Nelson Morgan, Brian Kingsbury, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Deep Neural Networks for Acoustic Modeling in Speech Recognition

Tara N. Sainath, Brian Kingsbury, Geoffrey E. Hinton, 2012 .

Tied-Mixture Language Modeling in Continuous Space

Brian Kingsbury, Ruhi Sarikaya, Mohamed Afify, 2009, NAACL.

Trends and advances in speech recognition

Brian Kingsbury, Bhuvana Ramabhadran, George Saon, 2011, IBM J. Res. Dev..

Parallel Deep Neural Network Training for Big Data on Blue Gene/Q

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2017, IEEE Transactions on Parallel and Distributed Systems.

Improving Efficiency in Large-Scale Decentralized Distributed Training

Brian Kingsbury, George Saon, Michael Picheny, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Optimization Techniques to Improve Training Speed of Deep Neural Networks for Large Speech Tasks

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2013, IEEE Transactions on Audio, Speech, and Language Processing.

Domain Adaptation in Machine Learning and Speech Processing

Brian Kingsbury, Fei Sha, 2012 .

Kernel Approximation Methods for Speech Recognition

Brian Kingsbury, Michael Picheny, Michael Collins, 2017, J. Mach. Learn. Res..

PERFORMANCE IMPROVEMENTS IN VOICEMAIL TRANSCRIPTION

Geoffrey Zweig, Brian Kingsbury, George Saon, 2000 .

Recent improvements in speech recognition performance on large vocabulary conversational speech (voicemail and switchboard)

Geoffrey Zweig, Jing Huang, Brian Kingsbury, 2000, INTERSPEECH.

Artificial intelligence research at IBM

Brian Kingsbury, James Fan, Michael Campbell, 2011, IBM J. Res. Dev..

Efficient one-vs-one kernel ridge regression for speech recognition

Brian Kingsbury, Jie Chen, Kartik Audhkhasi, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Rapid and inexpensive development of speech action classifiers for natural language call routing systems

Brian Kingsbury, Ea-Ee Jan, Brian Kingsbury, 2010, 2010 IEEE Spoken Language Technology Workshop.

CNS-1 Architecture Specification

Brian Kingsbury, John Wawrzynek, John Lazzaro, 1993 .

Beyond Backprop: Alternating Minimization with co-Activation Memory pdf

Brian Kingsbury, Djallel Bouneffouf, Ronny Luss, 2018, ArXiv.

Deep convolutional neural networks for LVCSR

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

New types of deep neural network learning for speech recognition and related applications: an overview

Brian Kingsbury, Geoffrey E. Hinton, Li Deng, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

System combination and score normalization for spoken term detection

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Parallel deep neural network training for LVCSR tasks using blue gene/Q

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2014, INTERSPEECH.

Deep scattering spectra with deep neural networks for LVCSR tasks

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2014, INTERSPEECH.

Discriminative graph training for ultra-fast low-footprint speech indexing

Brian Kingsbury, Hong-Kwang Jeff Kuo, Upendra V. Chaudhari, 2008, INTERSPEECH.

Challenging the Boundaries of Speech Recognition: The MALACH Corpus pdf

Brian Kingsbury, George Saon, Michael Picheny, 2019, INTERSPEECH.

How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets pdf

Brian Kingsbury, Michael Picheny, Michael Collins, 2014, ArXiv.

The IBM 2008 GALE Arabic speech transcription system

Brian Kingsbury, George Saon, Hagen Soltau, 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.

Estimating Information Flow in Neural Networks pdf

Brian Kingsbury, Kristjan H. Greenewald, Ziv Goldfeld, 2018, ArXiv.

Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300

Brian Kingsbury, George Saon, Kartik Audhkhasi, 2020, INTERSPEECH.

Multilingual representations for low resource speech recognition and keyword search

Brian Kingsbury, Bhuvana Ramabhadran, Michael Picheny, 2015, 2015 IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU).

Simplified LSTMS for Speech Recognition

Brian Kingsbury, Michael Picheny, Kartik Audhkhasi, 2019, 2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU).

End-to-End Spoken Language Understanding Without Full Transcripts

Brian Kingsbury, Samuel Thomas, Zvi Kons, 2020, INTERSPEECH.

Data Augmentation for deep neural network acoustic modeling

Xiaodong Cui, Brian Kingsbury, Vaibhava Goel, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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

Steven Greenberg, Brian Kingsbury, Nelson Morgan, 1998, ICSLP.

Exploiting diversity for spoken term detection

Brian Kingsbury, George Saon, Hagen Soltau, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Distributed speech recognition using noise-robust MFCC and traps-estimated manner features

Brian Kingsbury, Hynek Hermansky, Pratibha Jain, 2002, INTERSPEECH.

An empirical study of confusion modeling in keyword search for low resource languages

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.

Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization

Tara N. Sainath, Brian Kingsbury, Hagen Soltau, 2012, INTERSPEECH.

Arccosine kernels: Acoustic modeling with infinite neural networks

Brian Kingsbury, Chih-Chieh Cheng, Brian Kingsbury, 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The IBM 2008 GALE Arabic speech transcription system

Brian Kingsbury, George Saon, Hagen Soltau, 2010, ICASSP.

Building Competitive Direct Acoustics-to-Word Models for English Conversational Speech Recognition

Brian Kingsbury, Bhuvana Ramabhadran, George Saon, 2017, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Lattice-based optimization of sequence classification criteria for neural-network acoustic modeling

Brian Kingsbury, Brian Kingsbury, 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

Machine translation in continuous space

Brian Kingsbury, Ruhi Sarikaya, Yuqing Gao, 2008, INTERSPEECH.

Order-free spoken term detection

Brian Kingsbury, George Saon, Michael Picheny, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Very deep multilingual convolutional neural networks for LVCSR

Brian Kingsbury, Yann LeCun, Tom Sercu, 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Deep Convolutional Neural Networks for Large-scale Speech Tasks

Tara N. Sainath, Brian Kingsbury, Bhuvana Ramabhadran, 2015, Neural Networks.

A hybrid HMM/traps model for robust voice activity detection

Brian Kingsbury, André Adami, Pratibha Jain, 2002, INTERSPEECH.

Understanding Unequal Gender Classification Accuracy from Face Images pdf

Brian Kingsbury, Kush R. Varshney, Aleksandra Mojsilovic, 2018, ArXiv.

A high-performance Cantonese keyword search system

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Automated Quality Monitoring for Call Centers using Speech and NLP Technologies

Geoffrey Zweig, Brian Kingsbury, Bhuvana Ramabhadran, 2006, NAACL.

End-to-end ASR-free keyword search from speech

Brian Kingsbury, Bhuvana Ramabhadran, Andrew Rosenberg, 2017, ICASSP.

A multi-region deep neural network model in speech recognition

Brian Kingsbury, Bhuvana Ramabhadran, George Saon, 2015, INTERSPEECH.

Proceedings of the 1999 DARPA Broadcast News Workshop

Brian Kingsbury, Daniel P. W. Ellis, Steve Renals, 1999 .

Automatic speech recognition performance on a voicemail transcription task

Jing Huang, Brian Kingsbury, George Saon, 2002, IEEE Trans. Speech Audio Process..

Transliteration Based Data Augmentation for Training Multilingual ASR Acoustic Models in Low Resource Settings

Brian Kingsbury, Samuel Thomas, Kartik Audhkhasi, 2020, INTERSPEECH.

Federated Acoustic Modeling for Automatic Speech Recognition

Xiaodong Cui, Brian Kingsbury, Songtao Lu, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

4-bit Quantization of LSTM-based Speech Recognition Models pdf

Brian Kingsbury, George Saon, Swagath Venkataramani, 2021, Interspeech.

Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos pdf

James Glass, Brian Kingsbury, Michael Picheny, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Cascaded Multilingual Audio-Visual Learning from Videos pdf

James Glass, Brian Kingsbury, Michael Picheny, 2021, Interspeech.

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos pdf

James Glass, Brian Kingsbury, Michael Picheny, 2021, Interspeech 2021.

Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent pdf

Brian Kingsbury, Mingrui Liu, Wei Zhang, 2021, ArXiv.

Reducing Exposure Bias in Training Recurrent Neural Network Transducers pdf

Xiaodong Cui, Brian Kingsbury, George Saon, 2021, Interspeech 2021.

Everything at Once - Multi-modal Fusion Transformer for Video Retrieval pdf

James Glass, Brian Kingsbury, David Harwath, 2021, ArXiv.

Advancing RNN Transducer Technology for Speech Recognition

Brian Kingsbury, George Saon, Zoltan Tueske, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the limit of English conversational speech recognition pdf

Brian Kingsbury, George Saon, Zolt'an Tuske, 2021, Interspeech.

Integrating Dialog History into End-to-End Spoken Language Understanding Systems pdf

Brian Kingsbury, George Saon, Jatin Ganhotra, 2021, Interspeech.

RNN Transducer Models for Spoken Language Understanding

Brian Kingsbury, George Saon, Samuel Thomas, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio

Brian Kingsbury, George Saon, David Haws, 2021, Interspeech.

Asynchronous Decentralized Distributed Training of Acoustic Models

Brian Kingsbury, George Saon, Mingrui Liu, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

DEVELOPING KEYWORD SEARCH UNDER THE IARPA BABEL PROGRAM

Xiaodong Cui, Brian Kingsbury, Bhuvana Ramabhadran, 2013 .

English Broadcast News Speech Recognition by Humans and Machines

Brian Kingsbury, George Saon, Michael Picheny, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Syllable‐based speech recognition using auditorylike features

Steven Greenberg, Brian Kingsbury, Takayuki Arai, 1999 .