SPERT: a VLIW/SIMD microprocessor for artificial neural network computations. - Krste Asanovic; James Beck; Brian Kingsbury; Phil Kohn; Nelson Morgan; John Wawrzynek (ASAP, 1992)

SPERT-II: A Vector Microprocessor System and its Application to Large Problems in Backpropagation Training. - John Wawrzynek; Krste Asanovic; Brian Kingsbury; James Beck; David Johnson 001; Nelson Morgan (NIPS, 1995)

Spert-II: A Vector Microprocessor System. - John Wawrzynek; Krste Asanovic; Brian Kingsbury; David Johnson 001; James Beck; Nelson Morgan (Computer, 1996)

The modulation spectrogram: in pursuit of an invariant representation of speech. - Steven Greenberg; Brian Kingsbury (ICASSP, 1997)

Recognizing reverberant speech with RASTA-PLP. - Brian Kingsbury; Nelson Morgan (ICASSP, 1997)

Incorporating information from syllable-length time scales into automatic speech recognition. - Su-Lin Wu; Brian Kingsbury; Nelson Morgan; Steven Greenberg (ICASSP, 1998)

Performance improvements through combining phone- and syllable-scale information in automatic speech recognition. - Su-Lin Wu; Brian Kingsbury; Nelson Morgan; Steven Greenberg (ICSLP, 1998)

Robust speech recognition using the modulation spectrogram. - Brian Kingsbury; Nelson Morgan; Steven Greenberg (Speech Commun., 1998)

Recent improvements in speech recognition performance on large vocabulary conversational speech (voicemail and switchboard). - Jing Huang 019; Brian Kingsbury; Lidia Mangu; Mukund Padmanabhan; George Saon; Geoffrey Zweig (INTERSPEECH, 2000)

Robust speech recognition in Noisy Environments: The 2001 IBM spine evaluation system. - Brian Kingsbury; George Saon; Lidia Mangu; Mukund Padmanabhan; Ruhi Sarikaya (ICASSP, 2002)

Large vocabulary conversational speech recognition with the extended maximum likelihood linear transformation (EMLLT) model. - Jing Huang 019; Vaibhava Goel; Ramesh Gopinath; Brian Kingsbury; Peder A. Olsen; Karthik Visweswariah (INTERSPEECH, 2002)

Distributed speech recognition using noise-robust MFCC and traps-estimated manner features. - Pratibha Jain; Hynek Hermansky; Brian Kingsbury (INTERSPEECH, 2002)

A hybrid HMM/traps model for robust voice activity detection. - Brian Kingsbury; Pratibha Jain; André Gustavo Adami (INTERSPEECH, 2002)

Automatic speech recognition performance on a voicemail transcription task. - Mukund Padmanabhan; George Saon; Jing Huang 019; Brian Kingsbury; Lidia Mangu (IEEE Trans. Speech Audio Process., 2002)

Large vocabulary conversational speech recognition with a subspace constraint on inverse covariance matrices. - Scott Axelrod; Vaibhava Goel; Brian Kingsbury; Karthik Visweswariah; Ramesh A. Gopinath (INTERSPEECH, 2003)

Toward domain-independent conversational speech recognition. - Brian Kingsbury; Lidia Mangu; George Saon; Geoffrey Zweig; Scott Axelrod; Vaibhava Goel; Karthik Visweswariah; Michael Picheny (INTERSPEECH, 2003)

An architecture for rapid decoding of large vocabulary conversational speech. - George Saon; Geoffrey Zweig; Brian Kingsbury; Lidia Mangu; Upendra V. Chaudhari (INTERSPEECH, 2003)

An evaluation of a nonlinear feature transformation for conversational speech recognition. - Mohamed K. Omar; Brian Kingsbury (ICASSP (1), 2004)

fMPE: Discriminatively Trained Features for Speech Recognition. - Daniel Povey; Brian Kingsbury; Lidia Mangu; George Saon; Hagen Soltau; Geoffrey Zweig (ICASSP (1), 2005)

Contructing Ensembles of ASR Systems Using Randomized Decision Trees. - Olivier Siohan; Bhuvana Ramabhadran; Brian Kingsbury (ICASSP (1), 2005)

The IBM 2004 Conversational Telephony System for Rich Transcription. - Hagen Soltau; Brian Kingsbury; Lidia Mangu; Daniel Povey; George Saon; Geoffrey Zweig (ICASSP (1), 2005)

Automated Quality Monitoring in the Call Center with ASR and Maximum Entropy. - Geoffrey Zweig; Olivier Siohan; George Saon; Bhuvana Ramabhadran; Daniel Povey; Lidia Mangu; Brian Kingsbury (ICASSP (1), 2006)

Automated Quality Monitoring for Call Centers using Speech and NLP Technologies. - Geoffrey Zweig; Olivier Siohan; George Saon; Bhuvana Ramabhadran; Daniel Povey; Lidia Mangu; Brian Kingsbury (HLT-NAACL, 2006)

Advances in speech transcription at IBM under the DARPA EARS program. - Stanley F. Chen; Brian Kingsbury; Lidia Mangu; Daniel Povey; George Saon; Hagen Soltau; Geoffrey Zweig (IEEE Trans. Speech Audio Process., 2006)

Pseudo pitch synchronous analysis of speech with applications to speaker recognition. - Ran D. Zilca; Brian Kingsbury; Jirí Navrátil 001; Ganesh N. Ramaswamy (IEEE Trans. Speech Audio Process., 2006)

Discriminative Training of Decoding Graphs for Large Vocabulary Continuous Speech Recognition. - Hong-Kwang Jeff Kuo; Brian Kingsbury; Geoffrey Zweig (ICASSP (4), 2007)

Evaluation of Proposed Modifications to MPE for Large Scale Discriminative Training. - Daniel Povey; Brian Kingsbury (ICASSP (4), 2007)

The IBM 2006 Gale Arabic ASR System. - Hagen Soltau; George Saon; Brian Kingsbury; Hong-Kwang Jeff Kuo; Lidia Mangu; Daniel Povey; Geoffrey Zweig (ICASSP (4), 2007)

Boosted MMI for model and feature-space discriminative training. - Daniel Povey; Dimitri Kanevsky; Brian Kingsbury; Bhuvana Ramabhadran; George Saon; Karthik Visweswariah (ICASSP, 2008)

Discriminative graph training for ultra-fast low-footprint speech indexing. - Upendra V. Chaudhari; Hong-Kwang Jeff Kuo; Brian Kingsbury (INTERSPEECH, 2008)

Monte Carlo model-space noise adaptation for speech recognition. - Daniel Povey; Brian Kingsbury (INTERSPEECH, 2008)

Machine translation in continuous space. - Ruhi Sarikaya; Yonggang Deng; Mohamed Afify; Brian Kingsbury; Yuqing Gao (INTERSPEECH, 2008)

Lattice-based optimization of sequence classification criteria for neural-network acoustic modeling. - Brian Kingsbury (ICASSP, 2009)

Fast decoding for open vocabulary spoken term detection. - Bhuvana Ramabhadran; Abhinav Sethy; Jonathan Mamou; Brian Kingsbury; Upendra V. Chaudhari (HLT-NAACL (Short Papers), 2009)

Tied-Mixture Language Modeling in Continuous Space. - Ruhi Sarikaya; Mohamed Afify; Brian Kingsbury (HLT-NAACL, 2009)

Advances in Arabic Speech Transcription at IBM Under the DARPA GALE Program. - Hagen Soltau; George Saon; Brian Kingsbury; Hong-Kwang Jeff Kuo; Lidia Mangu; Daniel Povey; Ahmad Emami (IEEE Trans. Speech Audio Process., 2009)

The IBM 2008 GALE Arabic speech transcription system. - George Saon; Hagen Soltau; Upendra V. Chaudhari; Stephen M. Chu; Brian Kingsbury; Hong-Kwang Kuo; Lidia Mangu; Daniel Povey (ICASSP, 2010)

Rapid and inexpensive development of speech action classifiers for natural language call routing systems. - Ea-Ee Jan; Brian Kingsbury (SLT, 2010)

The IBM Attila speech recognition toolkit. - Hagen Soltau; George Saon; Brian Kingsbury (SLT, 2010)

The IBM 2011 GALE Arabic speech transcription system. - Lidia Mangu; Hong-Kwang Kuo; Stephen M. Chu; Brian Kingsbury; George Saon; Hagen Soltau; Fadi Biadsy (ASRU, 2011)

Making Deep Belief Networks effective for large vocabulary continuous speech recognition. - Tara N. Sainath; Brian Kingsbury; Bhuvana Ramabhadran; Petr Fousek; Petr Novák; Abdel-rahman Mohamed (ASRU, 2011)

Arccosine kernels: Acoustic modeling with infinite neural networks. - Chih-Chieh Cheng; Brian Kingsbury (ICASSP, 2011)

The IBM 2009 GALE Arabic speech transcription system. - Brian Kingsbury; Hagen Soltau; George Saon; Stephen M. Chu; Hong-Kwang Kuo; Lidia Mangu; Suman V. Ravuri; Nelson Morgan; Adam Janin (ICASSP, 2011)

Artificial intelligence research at IBM. - James Fan; Michael Campbell; Brian Kingsbury (IBM J. Res. Dev., 2011)

Trends and advances in speech recognition. - Michael Picheny; David Nahamoo; Vaibhava Goel; Brian Kingsbury; Bhuvana Ramabhadran; Steven J. Rennie; George Saon (IBM J. Res. Dev., 2011)

Auto-encoder bottleneck features using deep belief networks. - Tara N. Sainath; Brian Kingsbury; Bhuvana Ramabhadran (ICASSP, 2012)

Scalable Minimum Bayes Risk Training of Deep Neural Network Acoustic Models Using Distributed Hessian-free Optimization. - Brian Kingsbury; Tara N. Sainath; Hagen Soltau (INTERSPEECH, 2012)

Discriminative feature-space transforms using deep neural networks. - George Saon; Brian Kingsbury (INTERSPEECH, 2012)

Deep Neural Network Language Models. - Ebru Arisoy; Tara N. Sainath; Brian Kingsbury; Bhuvana Ramabhadran (WLM@NAACL-HLT, 2012)

Accelerating Hessian-free optimization for Deep Neural Networks by implicit preconditioning and sampling. - Tara N. Sainath; Lior Horesh; Brian Kingsbury; Aleksandr Y. Aravkin; Bhuvana Ramabhadran (ASRU, 2013)

Improvements to Deep Convolutional Neural Networks for LVCSR. - Tara N. Sainath; Brian Kingsbury; Abdel-rahman Mohamed; George E. Dahl; George Saon; Hagen Soltau; Tomás Beran; Aleksandr Y. Aravkin; Bhuvana Ramabhadran (ASRU, 2013)

Learning filter banks within a deep neural network framework. - Tara N. Sainath; Brian Kingsbury; Abdel-rahman Mohamed; Bhuvana Ramabhadran (ASRU, 2013)

An empirical study of confusion modeling in keyword search for low resource languages. - Murat Saraclar; Abhinav Sethy; Bhuvana Ramabhadran; Lidia Mangu; Jia Cui; Xiaodong Cui; Brian Kingsbury; Jonathan Mamou (ASRU, 2013)

Developing speech recognition systems for corpus indexing under the IARPA Babel program. - Jia Cui; Xiaodong Cui; Bhuvana Ramabhadran; Janice Kim; Brian Kingsbury; Jonathan Mamou; Lidia Mangu; Michael Picheny; Tara N. Sainath; Abhinav Sethy (ICASSP, 2013)

New types of deep neural network learning for speech recognition and related applications: an overview. - Li Deng 001; Geoffrey E. Hinton; Brian Kingsbury (ICASSP, 2013)

Audio-visual deep learning for noise robust speech recognition. - Jing Huang 019; Brian Kingsbury (ICASSP, 2013)

A high-performance Cantonese keyword search system. - Brian Kingsbury; Jia Cui; Xiaodong Cui; Mark J. F. Gales; Kate M. Knill; Jonathan Mamou; Lidia Mangu; David Nolden; Michael Picheny; Bhuvana Ramabhadran; Ralf Schlüter; Abhinav Sethy; et al. (ICASSP, 2013)

System combination and score normalization for spoken term detection. - Jonathan Mamou; Jia Cui; Xiaodong Cui; Mark J. F. Gales; Brian Kingsbury; Kate M. Knill; Lidia Mangu; David Nolden; Michael Picheny; Bhuvana Ramabhadran; Ralf Schlüter; Abhinav Sethy; et al. (ICASSP, 2013)

Exploiting diversity for spoken term detection. - Lidia Mangu; Hagen Soltau; Hong-Kwang Kuo; Brian Kingsbury; George Saon (ICASSP, 2013)

Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets. - Tara N. Sainath; Brian Kingsbury; Vikas Sindhwani; Ebru Arisoy; Bhuvana Ramabhadran (ICASSP, 2013)

Deep convolutional neural networks for LVCSR. - Tara N. Sainath; Abdel-rahman Mohamed; Brian Kingsbury; Bhuvana Ramabhadran (ICASSP, 2013)

Mixtures of Bayesian joint factor analyzers for noise robust automatic speech recognition. - Xiaodong Cui; Vaibhava Goel; Brian Kingsbury (INTERSPEECH, 2013)

The IBM speech activity detection system for the DARPA RATS program. - George Saon; Samuel Thomas 001; Hagen Soltau; Sriram Ganapathy; Brian Kingsbury (INTERSPEECH, 2013)

Improving training time of Hessian-free optimization for deep neural networks using preconditioning and sampling. - Tara N. Sainath; Lior Horesh; Brian Kingsbury; Aleksandr Y. Aravkin; Bhuvana Ramabhadran (CoRR, 2013)

Optimization Techniques to Improve Training Speed of Deep Neural Networks for Large Speech Tasks. - Tara N. Sainath; Brian Kingsbury; Hagen Soltau; Bhuvana Ramabhadran (IEEE Trans. Speech Audio Process., 2013)

Automatic keyword selection for keyword search development and tuning. - Jia Cui; Jonathan Mamou; Brian Kingsbury; Bhuvana Ramabhadran (ICASSP, 2014)

Efficient spoken term detection using confusion networks. - Lidia Mangu; Brian Kingsbury; Hagen Soltau; Hong-Kwang Kuo; Michael Picheny (ICASSP, 2014)

Improvements to filterbank and delta learning within a deep neural network framework. - Tara N. Sainath; Brian Kingsbury; Abdel-rahman Mohamed; George Saon; Bhuvana Ramabhadran (ICASSP, 2014)

Improving deep neural network acoustic modeling for audio corpus indexing under the IARPA babel program. - Xiaodong Cui; Brian Kingsbury; Jia Cui; Bhuvana Ramabhadran; Andrew Rosenberg; Mohammad Sadegh Rasooli; Owen Rambow; Nizar Habash; Vaibhava Goel (INTERSPEECH, 2014)

Recent improvements in neural network acoustic modeling for LVCSR in low resource languages. - Jia Cui; Bhuvana Ramabhadran; Xiaodong Cui; Andrew Rosenberg; Brian Kingsbury; Abhinav Sethy (INTERSPEECH, 2014)

Parallel deep neural network training for LVCSR tasks using blue gene/Q. - Tara N. Sainath; I-Hsin Chung; Bhuvana Ramabhadran; Michael Picheny; John A. Gunnels; Brian Kingsbury; George Saon; Vernon Austel; Upendra V. Chaudhari (INTERSPEECH, 2014)

Deep scattering spectra with deep neural networks for LVCSR tasks. - Tara N. Sainath; Vijayaditya Peddinti; Brian Kingsbury; Petr Fousek; Bhuvana Ramabhadran; David Nahamoo (INTERSPEECH, 2014)

How to Scale Up Kernel Methods to Be As Good As Deep Neural Nets. - Zhiyun Lu; Avner May; Kuan Liu; Alireza Bagheri Garakani; Dong Guo; Aurélien Bellet; Linxi Fan; Michael Collins 001; Brian Kingsbury; Michael Picheny; Fei Sha (CoRR, 2014)

Automatic Speech Recognition. - Hagen Soltau; George Saon; Lidia Mangu; Hong-Kwang Kuo; Brian Kingsbury; Stephen M. Chu; Fadi Biadsy (NLP of Semitic Languages, 2014)

Multilingual representations for low resource speech recognition and keyword search. - Jia Cui; Brian Kingsbury; Bhuvana Ramabhadran; Abhinav Sethy; Kartik Audhkhasi; Xiaodong Cui; Ellen Kislal; Lidia Mangu; Markus Nußbaum-Thom; Michael Picheny; Zoltán Tüske; Pavel Golik; et al. (ASRU, 2015)

Data augmentation for deep convolutional neural network acoustic modeling. - Xiaodong Cui; Vaibhava Goel; Brian Kingsbury (ICASSP, 2015)

Order-free spoken term detection. - Lidia Mangu; George Saon; Michael Picheny; Brian Kingsbury (ICASSP, 2015)

A multi-region deep neural network model in speech recognition. - Jia Cui; George Saon; Bhuvana Ramabhadran; Brian Kingsbury (INTERSPEECH, 2015)

Deep Convolutional Neural Networks for Large-scale Speech Tasks. - Tara N. Sainath; Brian Kingsbury; George Saon; Hagen Soltau; Abdel-rahman Mohamed; George E. Dahl; Bhuvana Ramabhadran (Neural Networks, 2015)

Data Augmentation for Deep Neural Network Acoustic Modeling. - Xiaodong Cui; Vaibhava Goel; Brian Kingsbury (IEEE ACM Trans. Audio Speech Lang. Process., 2015)

Efficient one-vs-one kernel ridge regression for speech recognition. - Jie Chen 007; Lingfei Wu 001; Kartik Audhkhasi; Brian Kingsbury; Bhuvana Ramabhadran (ICASSP, 2016)

A comparison between deep neural nets and kernel acoustic models for speech recognition. - Zhiyun Lu; Dong Guo; Alireza Bagheri Garakani; Kuan Liu; Avner May; Aurélien Bellet; Linxi Fan; Michael Collins 001; Brian Kingsbury; Michael Picheny; Fei Sha (ICASSP, 2016)

Compact kernel models for acoustic modeling via random feature selection. - Avner May; Michael Collins 001; Daniel J. Hsu; Brian Kingsbury (ICASSP, 2016)

Very deep multilingual convolutional neural networks for LVCSR. - Tom Sercu; Christian Puhrsch; Brian Kingsbury; Yann LeCun (ICASSP, 2016)

Improved Neural Network Initialization by Grouping Context-Dependent Targets for Acoustic Modeling. - Gakuto Kurata; Brian Kingsbury (INTERSPEECH, 2016)

Multilingual Data Selection for Low Resource Speech Recognition. - Samuel Thomas 001; Kartik Audhkhasi; Jia Cui; Brian Kingsbury; Bhuvana Ramabhadran (INTERSPEECH, 2016)

Knowledge distillation across ensembles of multilingual models for low-resource languages. - Jia Cui; Brian Kingsbury; Bhuvana Ramabhadran; George Saon; Tom Sercu; Kartik Audhkhasi; Abhinav Sethy; Markus Nußbaum-Thom; Andrew Rosenberg (ICASSP, 2017)

Network architectures for multilingual speech representation learning. - Tom Sercu; George Saon; Jia Cui; Xiaodong Cui; Bhuvana Ramabhadran; Brian Kingsbury; Abhinav Sethy (ICASSP, 2017)

Accelerating deep neural network learning for speech recognition on a cluster of GPUs. - Guojing Cong; Brian Kingsbury; Soumyadip Gosh; George Saon; Fan Zhou 010 (MLHPC@SC, 2017)

End-to-End ASR-Free Keyword Search From Speech. - Kartik Audhkhasi; Andrew Rosenberg; Abhinav Sethy; Bhuvana Ramabhadran; Brian Kingsbury (IEEE J. Sel. Top. Signal Process., 2017)

Introduction to the Special Issue on End-to-End Speech and Language Processing. - Bhuvana Ramabhadran; Nancy F. Chen; Mary P. Harper; Brian Kingsbury; Kate M. Knill (IEEE J. Sel. Top. Signal Process., 2017)

Parallel Deep Neural Network Training for Big Data on Blue Gene/Q. - I-Hsin Chung; Tara N. Sainath; Bhuvana Ramabhadran; Michael Picheny; John A. Gunnels; Vernon Austel; Upendra V. Chaudhari; Brian Kingsbury (IEEE Trans. Parallel Distributed Syst., 2017)

Building Competitive Direct Acoustics-to-Word Models for English Conversational Speech Recognition. - Kartik Audhkhasi; Brian Kingsbury; Bhuvana Ramabhadran; George Saon; Michael Picheny (ICASSP, 2018)

Beyond Backprop: Alternating Minimization with co-Activation Memory. - Anna Choromanska; Sadhana Kumaravel; Ronny Luss; Irina Rish; Brian Kingsbury; Ravi Tejwani; Djallel Bouneffouf 001 (CoRR, 2018)

Estimating Information Flow in Neural Networks. - Ziv Goldfeld; Ewout van den Berg; Kristjan H. Greenewald; Igor Melnyk; Nam Nguyen; Brian Kingsbury; Yury Polyanskiy (CoRR, 2018)

Understanding Unequal Gender Classification Accuracy from Face Images. - Vidya Muthukumar; Tejaswini Pedapati; Nalini K. Ratha; Prasanna Sattigeri; Chai-Wah Wu; Brian Kingsbury; Abhishek Kumar 001; Samuel Thomas 001; Aleksandra Mojsilovic; Kush R. Varshney (CoRR, 2018)

Simplified LSTMS for Speech Recognition. - George Saon; Zoltán Tüske; Kartik Audhkhasi; Brian Kingsbury; Michael Picheny; Samuel Thomas 001 (ASRU, 2019)

Sequence Noise Injected Training for End-to-end Speech Recognition. - George Saon; Zoltán Tüske; Kartik Audhkhasi; Brian Kingsbury (ICASSP, 2019)

English Broadcast News Speech Recognition by Humans and Machines. - Samuel Thomas 001; Masayuki Suzuki; Yinghui Huang; Gakuto Kurata; Zoltán Tüske; George Saon; Brian Kingsbury; Michael Picheny; Tom Dibert; Alice Kaiser-Schatzlein; Bern Samko (ICASSP, 2019)

Distributed Deep Learning Strategies for Automatic Speech Recognition. - Wei Zhang 022; Xiaodong Cui; Ulrich Finkler; Brian Kingsbury; George Saon; David S. Kung 001; Michael Picheny (ICASSP, 2019)

Beyond Backprop: Online Alternating Minimization with Auxiliary Variables. - Anna Choromanska; Benjamin Cowen; Sadhana Kumaravel; Ronny Luss; Mattia Rigotti; Irina Rish; Paolo Diachille; Viatcheslav Gurev; Brian Kingsbury; Ravi Tejwani; Djallel Bouneffouf 001 (ICML, 2019)

Estimating Information Flow in Deep Neural Networks. - Ziv Goldfeld; Ewout van den Berg; Kristjan H. Greenewald; Igor Melnyk; Nam Nguyen; Brian Kingsbury; Yury Polyanskiy (ICML, 2019)

Forget a Bit to Learn Better: Soft Forgetting for CTC-Based Automatic Speech Recognition. - Kartik Audhkhasi; George Saon; Zoltán Tüske; Brian Kingsbury; Michael Picheny (INTERSPEECH, 2019)

Challenging the Boundaries of Speech Recognition: The MALACH Corpus. - Michael Picheny; Zoltán Tüske; Brian Kingsbury; Kartik Audhkhasi; Xiaodong Cui; George Saon (INTERSPEECH, 2019)

A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition. - Wei Zhang 022; Xiaodong Cui; Ulrich Finkler; George Saon; Abdullah Kayi; Alper Buyuktosunoglu; Brian Kingsbury; David S. Kung 001; Michael Picheny (INTERSPEECH, 2019)

Kernel Approximation Methods for Speech Recognition. - Avner May; Alireza Bagheri Garakani; Zhiyun Lu; Dong Guo; Kuan Liu; Aurélien Bellet; Linxi Fan; Michael Collins 001; Daniel Hsu 001; Brian Kingsbury; Michael Picheny; Fei Sha (J. Mach. Learn. Res., 2019)

Fast Training of Deep Neural Networks for Speech Recognition. - Guojing Cong; Brian Kingsbury; Chih-Chieh Yang; Tianyi Liu (ICASSP, 2020)

Leveraging Unpaired Text Data for Training End-To-End Speech-to-Intent Systems. - Yinghui Huang; Hong-Kwang Kuo; Samuel Thomas 001; Zvi Kons; Kartik Audhkhasi; Brian Kingsbury; Ron Hoory; Michael Picheny (ICASSP, 2020)

Improving Efficiency in Large-Scale Decentralized Distributed Training. - Wei Zhang 022; Xiaodong Cui; Abdullah Kayi; Mingrui Liu; Ulrich Finkler; Brian Kingsbury; George Saon; Youssef Mroueh; Alper Buyuktosunoglu; Payel Das; David S. Kung 001; Michael Picheny (ICASSP, 2020)

Transliteration Based Data Augmentation for Training Multilingual ASR Acoustic Models in Low Resource Settings. - Samuel Thomas 001; Kartik Audhkhasi; Brian Kingsbury (INTERSPEECH, 2020)

End-to-End Spoken Language Understanding Without Full Transcripts. - Hong-Kwang Jeff Kuo; Zoltán Tüske; Samuel Thomas 001; Yinghui Huang; Kartik Audhkhasi; Brian Kingsbury; Gakuto Kurata; Zvi Kons; Ron Hoory; Luis A. Lastras (INTERSPEECH, 2020)

Representation Based Meta-Learning for Few-Shot Spoken Intent Recognition. - Ashish R. Mittal; Samarth Bharadwaj; Shreya Khare; Saneem A. Chemmengath; Karthik Sankaranarayanan; Brian Kingsbury (INTERSPEECH, 2020)

Single Headed Attention Based Sequence-to-Sequence Model for State-of-the-Art Results on Switchboard. - Zoltán Tüske; George Saon; Kartik Audhkhasi; Brian Kingsbury (INTERSPEECH, 2020)

Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300. - Zoltán Tüske; George Saon; Kartik Audhkhasi; Brian Kingsbury (CoRR, 2020)

RNN Transducer Models for Spoken Language Understanding. - Samuel Thomas 001; Hong-Kwang Jeff Kuo; George Saon; Zoltán Tüske; Brian Kingsbury; Gakuto Kurata; Zvi Kons; Ron Hoory (ICASSP, 2021)

Federated Acoustic Modeling for Automatic Speech Recognition. - Xiaodong Cui; Songtao Lu; Brian Kingsbury (ICASSP, 2021)

End-to-End Spoken Language Understanding Using Transformer Networks and Self-Supervised Pre-Trained Features. - Edmilson da Silva Morais; Hong-Kwang Jeff Kuo; Samuel Thomas 001; Zoltán Tüske; Brian Kingsbury (ICASSP, 2021)

Advancing RNN Transducer Technology for Speech Recognition. - George Saon; Zoltán Tüske; Daniel Bolaños; Brian Kingsbury (ICASSP, 2021)

Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. - Brian Chen 001; Andrew Rouditchenko; Kevin Duarte; Hilde Kuehne; Samuel Thomas 001; Angie W. Boggust; Rameswar Panda; Brian Kingsbury; Rogério Feris; David Harwath; James R. Glass; Michael Picheny; et al. (ICCV, 2021)

Reducing Exposure Bias in Training Recurrent Neural Network Transducers. - Xiaodong Cui; Brian Kingsbury; George Saon; David Haws; Zoltán Tüske (Interspeech, 2021)

4-Bit Quantization of LSTM-Based Speech Recognition Models. - Andrea Fasoli; Chia-Yu Chen; Mauricio J. Serrano; Xiao Sun 013; Naigang Wang; Swagath Venkataramani; George Saon; Xiaodong Cui; Brian Kingsbury; Wei Zhang 022; Zoltán Tüske; Kailash Gopalakrishnan (Interspeech, 2021)

Integrating Dialog History into End-to-End Spoken Language Understanding Systems. - Jatin Ganhotra; Samuel Thomas 001; Hong-Kwang Jeff Kuo; Sachindra Joshi; George Saon; Zoltán Tüske; Brian Kingsbury (Interspeech, 2021)

Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio. - Gakuto Kurata; George Saon; Brian Kingsbury; David Haws; Zoltán Tüske (Interspeech, 2021)

Cascaded Multilingual Audio-Visual Learning from Videos. - Andrew Rouditchenko; Angie W. Boggust; David Harwath; Samuel Thomas 001; Hilde Kuehne; Brian Chen 001; Rameswar Panda; Rogério Feris; Brian Kingsbury; Michael Picheny; James R. Glass (Interspeech, 2021)

AVLnet: Learning Audio-Visual Language Representations from Instructional Videos. - Andrew Rouditchenko; Angie W. Boggust; David Harwath; Brian Chen 001; Dhiraj Joshi; Samuel Thomas 001; Kartik Audhkhasi; Hilde Kuehne; Rameswar Panda; Rogério Schmidt Feris; Brian Kingsbury; Michael Picheny; et al. (Interspeech, 2021)

On the Limit of English Conversational Speech Recognition. - Zoltán Tüske; George Saon; Brian Kingsbury (Interspeech, 2021)

Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent. - Wei Zhang 022; Mingrui Liu; Yu Feng 004; Xiaodong Cui; Brian Kingsbury; Yuhai Tu (CoRR, 2021)

Asynchronous Decentralized Distributed Training of Acoustic Models. - Xiaodong Cui; Wei Zhang 022; Abdullah Kayi; Mingrui Liu; Ulrich Finkler; Brian Kingsbury; George Saon; David S. Kung 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. - Nina Shvetsova; Brian Chen 001; Andrew Rouditchenko; Samuel Thomas 001; Brian Kingsbury; Rogério Feris; David Harwath; James R. Glass; Hilde Kuehne (CVPR, 2022)

A New Data Augmentation Method for Intent Classification Enhancement and its Application on Spoken Conversation Datasets. - Zvi Kons; Aharon Satt; Hong-Kwang Kuo; Samuel Thomas 001; Boaz Carmeli; Ron Hoory; Brian Kingsbury (ICASSP, 2022)

Improving End-to-end Models for Set Prediction in Spoken Language Understanding. - Hong-Kwang Jeff Kuo; Zoltán Tüske; Samuel Thomas 001; Brian Kingsbury; George Saon (ICASSP, 2022)

Decentralized Bilevel Optimization for Personalized Client Learning. - Songtao Lu; Xiaodong Cui; Mark S. Squillante; Brian Kingsbury; Lior Horesh (ICASSP, 2022)

Towards End-to-End Integration of Dialog History for Improved Spoken Language Understanding. - Vishal Sunder; Samuel Thomas 001; Hong-Kwang Jeff Kuo; Jatin Ganhotra; Brian Kingsbury; Eric Fosler-Lussier (ICASSP, 2022)

Towards Reducing the Need for Speech Training Data to Build Spoken Language Understanding Systems. - Samuel Thomas 001; Hong-Kwang Jeff Kuo; Brian Kingsbury; George Saon (ICASSP, 2022)

Integrating Text Inputs for Training and Adapting RNN Transducer ASR Models. - Samuel Thomas 001; Brian Kingsbury; George Saon; Hong-Kwang Jeff Kuo (ICASSP, 2022)

Improving Generalization of Deep Neural Network Acoustic Models with Length Perturbation and N-best Based Label Smoothing. - Xiaodong Cui; George Saon; Tohru Nagano; Masayuki Suzuki; Takashi Fukuda; Brian Kingsbury; Gakuto Kurata (INTERSPEECH, 2022)

Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization. - Andrea Fasoli; Chia-Yu Chen; Mauricio J. Serrano; Swagath Venkataramani; George Saon; Xiaodong Cui; Brian Kingsbury; Kailash Gopalakrishnan (INTERSPEECH, 2022)

Global RNN Transducer Models For Multi-dialect Speech Recognition. - Takashi Fukuda; Samuel Thomas 001; Masayuki Suzuki; Gakuto Kurata; George Saon; Brian Kingsbury (INTERSPEECH, 2022)

VQ-T: RNN Transducers using Vector-Quantized Prediction Network States. - Jiatong Shi; George Saon; David Haws; Shinji Watanabe 001; Brian Kingsbury (INTERSPEECH, 2022)

Tokenwise Contrastive Pretraining for Finer Speech-to-BERT Alignment in End-to-End Speech-to-Intent Systems. - Vishal Sunder; Eric Fosler-Lussier; Samuel Thomas 001; Hong-Kwang Kuo; Brian Kingsbury (INTERSPEECH, 2022)

A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization. - Songtao Lu; Siliang Zeng; Xiaodong Cui; Mark S. Squillante; Lior Horesh; Brian Kingsbury; Jia Liu 002; Mingyi Hong 001 (NeurIPS, 2022)

C2KD: Cross-Lingual Cross-Modal Knowledge Distillation for Multilingual Text-Video Retrieval. - Andrew Rouditchenko; Yung-Sung Chuang; Nina Shvetsova; Samuel Thomas 001; Rogério Feris; Brian Kingsbury; Leonid Karlinsky; David Harwath; Hilde Kuehne; James R. Glass (ICASSP, 2023)

Fine-Grained Textual Knowledge Transfer to Improve RNN Transducers for Speech Recognition and Understanding. - Vishal Sunder; Samuel Thomas 001; Hong-Kwang Jeff Kuo; Brian Kingsbury; Eric Fosler-Lussier (ICASSP, 2023)

Multi-Speaker Data Augmentation for Improved end-to-end Automatic Speech Recognition. - Samuel Thomas 001; Hong-Kwang Jeff Kuo; George Saon; Brian Kingsbury (ICASSP, 2023)

Improving RNN Transducer Acoustic Models for English Conversational Speech Recognition. - Xiaodong Cui; George Saon; Brian Kingsbury (INTERSPEECH, 2023)

Comparison of Multilingual Self-Supervised and Weakly-Supervised Speech Pre-Training for Adaptation to Unseen Languages. - Andrew Rouditchenko; Sameer Khurana; Samuel Thomas 001; Rogério Feris; Leonid Karlinsky; Hilde Kuehne; David Harwath; Brian Kingsbury; James R. Glass (INTERSPEECH, 2023)

ConvKT: Conversation-Level Knowledge Transfer for Context Aware End-to-End Spoken Language Understanding. - Vishal Sunder; Eric Fosler-Lussier; Samuel Thomas 001; Hong-Kwang Jeff Kuo; Brian Kingsbury (INTERSPEECH, 2023)

High-Dimensional Smoothed Entropy Estimation via Dimensionality Reduction. - Kristjan H. Greenewald; Brian Kingsbury; Yuancheng Yu (ISIT, 2023)

Soft Random Sampling: A Theoretical and Empirical Analysis. - Xiaodong Cui; Ashish R. Mittal; Songtao Lu; Wei Zhang 022; George Saon; Brian Kingsbury (CoRR, 2023)

Semi-Autoregressive Streaming ASR with Label Context. - Siddhant Arora; George Saon; Shinji Watanabe 001; Brian Kingsbury (ICASSP, 2024)

Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization. - A. F. M. Saif; Xiaodong Cui; Han Shen; Songtao Lu; Brian Kingsbury; Tianyi Chen (ICASSP, 2024)

Exploring the limits of decoder-only models trained on public speech recognition corpora. - Ankit Gupta 001; George Saon; Brian Kingsbury (INTERSPEECH, 2024)

M2ASR: Multilingual Multi-task Automatic Speech Recognition via Multi-objective Optimization. - A. F. M. Saif; Lisha Chen; Xiaodong Cui; Songtao Lu; Brian Kingsbury; Tianyi Chen (INTERSPEECH, 2024)

Bilevel Joint Unsupervised and Supervised Training for Automatic Speech Recognition. - Xiaodong Cui; A. F. M. Saif; Songtao Lu; Lisha Chen; Tianyi Chen; Brian Kingsbury; George Saon (CoRR, 2024)

CAV-MAE Sync: Improving Contrastive Audio-Visual Mask Autoencoders via Fine-Grained Alignment. - Edson Araujo; Andrew Rouditchenko; Yuan Gong 001; Saurabhchand Bhati; Samuel Thomas 001; Brian Kingsbury; Leonid Karlinsky; Rogério Feris; James R. Glass; Hilde Kuehne (CVPR, 2025)

A Non-autoregressive Model for Joint STT and TTS. - Vishal Sunder; Brian Kingsbury; George Saon; Samuel Thomas 001; Slava Shechtman; Hagai Aronowitz; Eric Fosler-Lussier; Luis A. Lastras (ICASSP, 2025)