Off-line Handwriting Recognition by Statistical Correlation. - George Saon; Abdel Belaïd; Yifan Gong 001 (MVA, 1994)

Stochastic trajectory modeling for recognition of unconstrained handwritten words. - George Saon; Abdel Belaïd; Yifan Gong 001 (ICDAR, 1995)

Binary pattern recognition using Markov random fields and HMMs. - George Saon; Abdel Belaïd (ICASSP, 1997)

High Performance Unconstrained Word Recognition System Combining HMMs and Markov Random Fields. - George Saon; Abdel Belaïd (Int. J. Pattern Recognit. Artif. Intell., 1997)

Modèles markoviens uni- et bidimensionnels pour la reconnaissance de l'écriture manuscrite hors-ligne. (One and two-dimensional Markov models for off-line handwriting recognition). - George Saon (1997)

Recent improvements in voicemail transcription. - Mukund Padmanabhan; George Saon; Sankar Basu; Jing Huang 019; Geoffrey Zweig (EUROSPEECH, 1999)

Cursive word recognition using a random field based hidden Markov model. - George Saon (Int. J. Document Anal. Recognit., 1999)

Maximum likelihood discriminant feature spaces. - George Saon; Mukund Padmanabhan; Ramesh A. Gopinath; Scott Saobing Chen (ICASSP, 2000)

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)

Real-time multilingual HMM training robust to channel variations. - Ea-Ee Jan; Jaime Botella Ordinas; George Saon; Salim Roukos (INTERSPEECH, 2000)

Minimum Bayes error feature selection. - George Saon; Mukund Padmanabhan (INTERSPEECH, 2000)

Minimum Bayes Error Feature Selection for Continuous Speech Recognition. - George Saon; Mukund Padmanabhan (NIPS, 2000)

Speech recognition for DARPA Communicator. - Andrew Aaron; Scott Saobing Chen; Paul S. Cohen; Satya Dharanipragada; Ellen Eide; Martin Franz; Jean-Michel LeRoux; X. Luo; Benoît Maison; Lidia Mangu; T. Mathes; Miroslav Novak; et al. (ICASSP, 2001)

Linear feature space projections for speaker adaptation. - George Saon; Geoffrey Zweig; Mukund Padmanabhan (ICASSP, 2001)

Robust digit recognition in noisy environments: the IBM Aurora 2 system. - George Saon; Juan M. Huerta; Ea-Ee Jan (INTERSPEECH, 2001)

Data-driven approach to designing compound words for continuous speech recognition. - George Saon; Mukund Padmanabhan (IEEE Trans. Speech Audio Process., 2001)

Digit recognition in noisy environments via a sequential GMM/SVM system. - Shai Fine; George Saon; Ramesh A. Gopinath (ICASSP, 2002)

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

Improvements to the IBM Aurora 2 multi-condition system. - George Saon; Juan M. Huerta (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)

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)

Feature space Gaussianization. - George Saon; Satya Dharanipragada; Daniel Povey (ICASSP (1), 2004)

Fractional Fourier transform features for speech recognition. - Ruhi Sarikaya; Yuqing Gao; George Saon (ICASSP (1), 2004)

Arc minimization in finite-state decoding graphs with cross-word acoustic context. - François Yvon; Geoffrey Zweig; George Saon (Comput. Speech Lang., 2004)

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

Anatomy of an extremely fast LVCSR decoder. - George Saon; Daniel Povey; Geoffrey Zweig (INTERSPEECH, 2005)

A Non-Linear Speaker Adaptation Technique using Kernel Ridge Regression. - George Saon (ICASSP (1), 2006)

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)

Feature and model space speaker adaptation with full covariance Gaussians. - Daniel Povey; George Saon (INTERSPEECH, 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)

On the Effect Ofword Error Rate on Automated Quality Monitoring. - George Saon; Bhuvana Ramabhadran; Geoffrey Zweig (SLT, 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)

Lattice-based Viterbi decoding techniques for speech translation. - George Saon; Michael Picheny (ASRU, 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)

Penalty function maximization for large margin HMM training. - George Saon; Daniel Povey (INTERSPEECH, 2008)

Dynamic network decoding revisited. - Hagen Soltau; George Saon (ASRU, 2009)

Large margin semi-tied covariance transforms for discriminative training. - George Saon; Daniel Povey; Hagen Soltau (ICASSP, 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)

Boosting systems for LVCSR. - George Saon; Hagen Soltau (INTERSPEECH, 2010)

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

Minimum Bayes risk discriminative language models for Arabic speech recognition. - Hong-Kwang Jeff Kuo; Ebru Arisoy; Lidia Mangu; George Saon (ASRU, 2011)

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)

Some properties of Bayesian sensing hidden Markov models. - George Saon; Jen-Tzung Chien (ASRU, 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)

Bayesian sensing hidden Markov models for speech recognition. - George Saon; Jen-Tzung Chien (ICASSP, 2011)

Discriminative training for Bayesian sensing hidden Markov models. - George Saon; Jen-Tzung Chien (ICASSP, 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)

Recent developments in large vocabulary continuous speech recognition. - George Saon; Jen-Tzung Chien (APSIPA, 2012)

Sparse Bayesian Factor Analysis for Stereo-based Stochastic Mapping. - Xiaodong Cui; Mohamed Afify; George Saon; Vaibhava Goel (INTERSPEECH, 2012)

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

Boosting systems for large vocabulary continuous speech recognition. - George Saon; Hagen Soltau (Speech Commun., 2012)

Large-Vocabulary Continuous Speech Recognition Systems: A Look at Some Recent Advances. - George Saon; Jen-Tzung Chien (IEEE Signal Process. Mag., 2012)

Bayesian Sensing Hidden Markov Models. - George Saon; Jen-Tzung Chien (IEEE Trans. Speech Audio Process., 2012)

The IBM keyword search system for the DARPA RATS program. - Lidia Mangu; Hagen Soltau; Hong-Kwang Kuo; George Saon (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)

Speaker adaptation of neural network acoustic models using i-vectors. - George Saon; Hagen Soltau; David Nahamoo; Michael Picheny (ASRU, 2013)

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

Neural network acoustic models for the DARPA RATS program. - Hagen Soltau; Hong-Kwang Kuo; Lidia Mangu; George Saon; Tomás Beran (INTERSPEECH, 2013)

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)

A comparison of two optimization techniques for sequence discriminative training of deep neural networks. - George Saon; Hagen Soltau (ICASSP, 2014)

Joint training of convolutional and non-convolutional neural networks. - Hagen Soltau; George Saon; Tara N. Sainath (ICASSP, 2014)

Analyzing convolutional neural networks for speech activity detection in mismatched acoustic conditions. - Samuel Thomas 001; Sriram Ganapathy; George Saon; Hagen Soltau (ICASSP, 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)

Unfolded recurrent neural networks for speech recognition. - George Saon; Hagen Soltau; Ahmad Emami; Michael Picheny (INTERSPEECH, 2014)

A distributed architecture for fast SGD sequence discriminative training of DNN acoustic models. - George Saon (SLT, 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)

A nonmonotone learning rate strategy for SGD training of deep neural networks. - Nitish Shirish Keskar; George Saon (ICASSP, 2015)

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

Improvements to the IBM speech activity detection system for the DARPA RATS program. - Samuel Thomas 001; George Saon; Maarten Van Segbroeck; Shrikanth S. Narayanan (ICASSP, 2015)

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

The IBM 2015 English conversational telephone speech recognition system. - George Saon; Hong-Kwang Jeff Kuo; Steven J. Rennie; Michael Picheny (INTERSPEECH, 2015)

The IBM BOLT speech transcription system. - Samuel Thomas 001; George Saon; Hong-Kwang Jeff Kuo; Lidia Mangu (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)

On the importance of event detection for ASR. - David Haws; Dimitrios Dimitriadis; George Saon; Samuel Thomas 001; Michael Picheny (ICASSP, 2016)

The IBM 2016 English Conversational Telephone Speech Recognition System. - George Saon; Tom Sercu; Steven J. Rennie; Hong-Kwang Jeff Kuo (INTERSPEECH, 2016)

Domain Adaptation of CNN Based Acoustic Models Under Limited Resource Settings. - Masayuki Suzuki; Ryuki Tachibana; Samuel Thomas 001; Bhuvana Ramabhadran; George Saon (INTERSPEECH, 2016)

Language modeling with highway LSTM. - Gakuto Kurata; Bhuvana Ramabhadran; George Saon; Abhinav Sethy (ASRU, 2017)

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)

Direct Acoustics-to-Word Models for English Conversational Speech Recognition. - Kartik Audhkhasi; Bhuvana Ramabhadran; George Saon; Michael Picheny; David Nahamoo (INTERSPEECH, 2017)

Embedding-Based Speaker Adaptive Training of Deep Neural Networks. - Xiaodong Cui; Vaibhava Goel; George Saon (INTERSPEECH, 2017)

Empirical Exploration of Novel Architectures and Objectives for Language Models. - Gakuto Kurata; Abhinav Sethy; Bhuvana Ramabhadran; George Saon (INTERSPEECH, 2017)

English Conversational Telephone Speech Recognition by Humans and Machines. - George Saon; Gakuto Kurata; Tom Sercu; Kartik Audhkhasi; Samuel Thomas 001; Dimitrios Dimitriadis; Xiaodong Cui; Bhuvana Ramabhadran; Michael Picheny; Lynn-Li Lim; Bergul Roomi; Phil Hall (INTERSPEECH, 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)

Recent progress in deep end-to-end models for spoken language processing. - Kartik Audhkhasi; Andrew Rosenberg; George Saon; Abhinav Sethy; Bhuvana Ramabhadran; Stanley F. Chen; Michael Picheny (IBM J. Res. Dev., 2017)

Recent advances in conversational speech recognition using convolutional and recurrent neural networks. - George Saon; Michael Picheny (IBM J. Res. Dev., 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)

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)

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)

Advancing Sequence-to-Sequence Based Speech Recognition. - Zoltán Tüske; Kartik Audhkhasi; 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)

Alignment-Length Synchronous Decoding for RNN Transducer. - George Saon; Zoltán Tüske; Kartik Audhkhasi (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)

Knowledge Distillation from Offline to Streaming RNN Transducer for End-to-End Speech Recognition. - Gakuto Kurata; George Saon (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)

Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition. - Xiaodong Cui; Wei Zhang 022; Ulrich Finkler; George Saon; Michael Picheny; David S. Kung 001 (CoRR, 2020)

Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies. - Xiaodong Cui; Wei Zhang 022; Ulrich Finkler; George Saon; Michael Picheny; David S. Kung 001 (IEEE Signal Process. Mag., 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)

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

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

Towards efficient end-to-end speech recognition with biologically-inspired neural networks. - Thomas Bohnstingl; Ayush Garg 006; Stanislaw Wozniak; George Saon; Evangelos Eleftheriou; Angeliki Pantazi (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)

Speech Recognition Using Biologically-Inspired Neural Networks. - Thomas Bohnstingl; Ayush Garg 006; Stanislaw Wozniak; George Saon; Evangelos Eleftheriou; Angeliki Pantazi (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)

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)

Extending RNN-T-based speech recognition systems with emotion and language classification. - Zvi Kons; Hagai Aronowitz; Edmilson da Silva Morais; Matheus Damasceno; Hong-Kwang Kuo; Samuel Thomas 001; George Saon (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)

Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems. - Takuma Udagawa; Masayuki Suzuki; Gakuto Kurata; Nobuyasu Itoh; George Saon (INTERSPEECH, 2022)

Speech-enriched Memory for Inference-time Adaptation of ASR Models to Word Dictionaries. - Ashish R. Mittal; Sunita Sarawagi; Preethi Jyothi; George Saon; Gakuto Kurata (EMNLP, 2023)

Diagonal State Space Augmented Transformers for Speech Recognition. - George Saon; Ankit Gupta 001; Xiaodong Cui (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)

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)

Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems. - Takuma Udagawa; Masayuki Suzuki; Gakuto Kurata; Masayasu Muraoka; George Saon (ICASSP, 2024)

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

Knowledge Distillation Based Training of Unified Conformer CTC Models for Multi-form ASR. - Takashi Fukuda; Gakuto Kurata; George Saon (ICASSP, 2025)

LLM based Text Generation for Improved Low-resource Speech Recognition Models. - Tohru Nagano; Gakuto Kurata; Samuel Thomas 001; Hong-Kwang Jeff Kuo; Daniel Bolaños; Hyun Jung; George Saon (ICASSP, 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)