George Saon

According to our database, George Saon authored at least 135 papers between 1994 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

Exploring the limits of decoder-only models trained on public speech recognition corpora.

Ankit Gupta, George Saon, Brian Kingsbury

CoRR, 2024

Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems.

Takuma Udagawa, Masayuki Suzuki, Gakuto Kurata, Masayasu Muraoka, George Saon

Proceedings of the IEEE International Conference on Acoustics, 2024

Semi-Autoregressive Streaming ASR with Label Context.

Siddhant Arora, George Saon, Shinji Watanabe, Brian Kingsbury

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Soft Random Sampling: A Theoretical and Empirical Analysis.

Xiaodong Cui, Ashish R. Mittal, Songtao Lu, Wei Zhang, George Saon, Brian Kingsbury

CoRR, 2023

Improving RNN Transducer Acoustic Models for English Conversational Speech Recognition.

Xiaodong Cui, George Saon, Brian Kingsbury

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Multi-Speaker Data Augmentation for Improved end-to-end Automatic Speech Recognition.

Samuel Thomas, Hong-Kwang Jeff Kuo, George Saon, Brian Kingsbury

Proceedings of the IEEE International Conference on Acoustics, 2023

Diagonal State Space Augmented Transformers for Speech Recognition.

George Saon, Ankit Gupta, Xiaodong Cui

Proceedings of the IEEE International Conference on Acoustics, 2023

Speech-enriched Memory for Inference-time Adaptation of ASR Models to Word Dictionaries.

Ashish R. Mittal, Sunita Sarawagi, Preethi Jyothi, George Saon, Gakuto Kurata

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems.

Takuma Udagawa, Masayuki Suzuki, Gakuto Kurata, Nobuyasu Itoh, George Saon

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

VQ-T: RNN Transducers using Vector-Quantized Prediction Network States.

Jiatong Shi, George Saon, David Haws, Shinji Watanabe, Brian Kingsbury

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 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, George Saon

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Global RNN Transducer Models For Multi-dialect Speech Recognition.

Takashi Fukuda, Samuel Thomas, Masayuki Suzuki, Gakuto Kurata, George Saon, Brian Kingsbury

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 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

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 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

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Integrating Text Inputs for Training and Adapting RNN Transducer ASR Models.

Samuel Thomas, Brian Kingsbury, George Saon, Hong-Kwang Jeff Kuo

Proceedings of the IEEE International Conference on Acoustics, 2022

Towards Reducing the Need for Speech Training Data to Build Spoken Language Understanding Systems.

Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury, George Saon

Proceedings of the IEEE International Conference on Acoustics, 2022

Improving End-to-end Models for Set Prediction in Spoken Language Understanding.

Hong-Kwang Jeff Kuo, Zoltán Tüske, Samuel Thomas, Brian Kingsbury, George Saon

Proceedings of the IEEE International Conference on Acoustics, 2022

Speech Recognition Using Biologically-Inspired Neural Networks.

Thomas Bohnstingl, Ayush Garg, Stanislaw Wozniak, George Saon, Evangelos Eleftheriou, Angeliki Pantazi

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Asynchronous Decentralized Distributed Training of Acoustic Models.

Xiaodong Cui, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung

IEEE ACM Trans. Audio Speech Lang. Process., 2021

Towards efficient end-to-end speech recognition with biologically-inspired neural networks.

Thomas Bohnstingl, Ayush Garg, Stanislaw Wozniak, George Saon, Evangelos Eleftheriou, Angeliki Pantazi

CoRR, 2021

On the Limit of English Conversational Speech Recognition.

Zoltán Tüske, George Saon, Brian Kingsbury

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

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

Gakuto Kurata, George Saon, Brian Kingsbury, David Haws, Zoltán Tüske

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

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

Jatin Ganhotra, Samuel Thomas, Hong-Kwang Jeff Kuo, Sachindra Joshi, George Saon, Zoltán Tüske, Brian Kingsbury

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

4-Bit Quantization of LSTM-Based Speech Recognition Models.

Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Xiao Sun, Naigang Wang, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Wei Zhang, Zoltán Tüske, Kailash Gopalakrishnan

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Reducing Exposure Bias in Training Recurrent Neural Network Transducers.

Xiaodong Cui, Brian Kingsbury, George Saon, David Haws, Zoltán Tüske

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Advancing RNN Transducer Technology for Speech Recognition.

George Saon, Zoltán Tüske, Daniel Bolaños, Brian Kingsbury

Proceedings of the IEEE International Conference on Acoustics, 2021

RNN Transducer Models for Spoken Language Understanding.

Samuel Thomas, Hong-Kwang Jeff Kuo, George Saon, Zoltán Tüske, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies.

Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David S. Kung

IEEE Signal Process. Mag., 2020

Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition.

Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David S. Kung

CoRR, 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

Single Headed Attention Based Sequence-to-Sequence Model for State-of-the-Art Results on Switchboard.

Zoltán Tüske, George Saon, Kartik Audhkhasi, Brian Kingsbury

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Knowledge Distillation from Offline to Streaming RNN Transducer for End-to-End Speech Recognition.

Gakuto Kurata, George Saon

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Improving Efficiency in Large-Scale Decentralized Distributed Training.

Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Alignment-Length Synchronous Decoding for RNN Transducer.

George Saon, Zoltán Tüske, Kartik Audhkhasi

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition.

Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Advancing Sequence-to-Sequence Based Speech Recognition.

Zoltán Tüske, Kartik Audhkhasi, George Saon

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Challenging the Boundaries of Speech Recognition: The MALACH Corpus.

Michael Picheny, Zoltán Tüske, Brian Kingsbury, Kartik Audhkhasi, Xiaodong Cui, George Saon

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 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

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Distributed Deep Learning Strategies for Automatic Speech Recognition.

Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny

Proceedings of the IEEE International Conference on Acoustics, 2019

English Broadcast News Speech Recognition by Humans and Machines.

Samuel Thomas, Masayuki Suzuki, Yinghui Huang, Gakuto Kurata, Zoltán Tüske, George Saon, Brian Kingsbury, Michael Picheny, Tom Dibert, Alice Kaiser-Schatzlein, Bern Samko

Proceedings of the IEEE International Conference on Acoustics, 2019

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

George Saon, Zoltán Tüske, Kartik Audhkhasi, Brian Kingsbury

Proceedings of the IEEE International Conference on Acoustics, 2019

Simplified LSTMS for Speech Recognition.

George Saon, Zoltán Tüske, Kartik Audhkhasi, Brian Kingsbury, Michael Picheny, Samuel Thomas

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018

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

Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Michael Picheny

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Recent advances in conversational speech recognition using convolutional and recurrent neural networks.

George Saon, Michael Picheny

IBM J. Res. Dev., 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

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

Guojing Cong, Brian Kingsbury, Soumyadip Gosh, George Saon, Fan Zhou

Proceedings of the Machine Learning on HPC Environments, 2017

English Conversational Telephone Speech Recognition by Humans and Machines.

George Saon, Gakuto Kurata, Tom Sercu, Kartik Audhkhasi, Samuel Thomas, Dimitrios Dimitriadis, Xiaodong Cui, Bhuvana Ramabhadran, Michael Picheny, Lynn-Li Lim, Bergul Roomi, Phil Hall

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Empirical Exploration of Novel Architectures and Objectives for Language Models.

Gakuto Kurata, Abhinav Sethy, Bhuvana Ramabhadran, George Saon

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Embedding-Based Speaker Adaptive Training of Deep Neural Networks.

Xiaodong Cui, Vaibhava Goel, George Saon

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Direct Acoustics-to-Word Models for English Conversational Speech Recognition.

Kartik Audhkhasi, Bhuvana Ramabhadran, George Saon, Michael Picheny, David Nahamoo

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Network architectures for multilingual speech representation learning.

Tom Sercu, George Saon, Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Brian Kingsbury, Abhinav Sethy

Proceedings of the 2017 IEEE International Conference on Acoustics, 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

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Language modeling with highway LSTM.

Gakuto Kurata, Bhuvana Ramabhadran, George Saon, Abhinav Sethy

Proceedings of the 2017 IEEE Automatic Speech Recognition and Understanding Workshop, 2017

2016

Domain Adaptation of CNN Based Acoustic Models Under Limited Resource Settings.

Masayuki Suzuki, Ryuki Tachibana, Samuel Thomas, Bhuvana Ramabhadran, George Saon

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

The IBM 2016 English Conversational Telephone Speech Recognition System.

George Saon, Tom Sercu, Steven J. Rennie, Hong-Kwang Jeff Kuo

Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

On the importance of event detection for ASR.

David Haws, Dimitrios Dimitriadis, George Saon, Samuel Thomas, Michael Picheny

Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

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

The IBM BOLT speech transcription system.

Samuel Thomas, George Saon, Hong-Kwang Jeff Kuo, Lidia Mangu

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

The IBM 2015 English conversational telephone speech recognition system.

George Saon, Hong-Kwang Jeff Kuo, Steven J. Rennie, Michael Picheny

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

A multi-region deep neural network model in speech recognition.

Jia Cui, George Saon, Bhuvana Ramabhadran, Brian Kingsbury

Proceedings of the 16th Annual Conference of the International Speech Communication Association, 2015

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

Samuel Thomas, George Saon, Maarten Van Segbroeck, Shrikanth S. Narayanan

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Order-free spoken term detection.

Lidia Mangu, George Saon, Michael Picheny, Brian Kingsbury

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A nonmonotone learning rate strategy for SGD training of deep neural networks.

Nitish Shirish Keskar, George Saon

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014

Automatic Speech Recognition.

Hagen Soltau, George Saon, Lidia Mangu, Hong-Kwang Kuo, Brian Kingsbury, Stephen M. Chu, Fadi Biadsy

Proceedings of the Natural Language Processing of Semitic Languages, 2014

A distributed architecture for fast SGD sequence discriminative training of DNN acoustic models.

George Saon

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Unfolded recurrent neural networks for speech recognition.

George Saon, Hagen Soltau, Ahmad Emami, Michael Picheny

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 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

Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Analyzing convolutional neural networks for speech activity detection in mismatched acoustic conditions.

Samuel Thomas, Sriram Ganapathy, George Saon, Hagen Soltau

Proceedings of the IEEE International Conference on Acoustics, 2014

Joint training of convolutional and non-convolutional neural networks.

Hagen Soltau, George Saon, Tara N. Sainath

Proceedings of the IEEE International Conference on Acoustics, 2014

A comparison of two optimization techniques for sequence discriminative training of deep neural networks.

George Saon, Hagen Soltau

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

Neural network acoustic models for the DARPA RATS program.

Hagen Soltau, Hong-Kwang Kuo, Lidia Mangu, George Saon, Tomás Beran

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

The IBM speech activity detection system for the DARPA RATS program.

George Saon, Samuel Thomas, Hagen Soltau, Sriram Ganapathy, Brian Kingsbury

Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Exploiting diversity for spoken term detection.

Lidia Mangu, Hagen Soltau, Hong-Kwang Kuo, Brian Kingsbury, George Saon

Proceedings of the IEEE International Conference on Acoustics, 2013

Speaker adaptation of neural network acoustic models using i-vectors.

George Saon, Hagen Soltau, David Nahamoo, Michael Picheny

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 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

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

The IBM keyword search system for the DARPA RATS program.

Lidia Mangu, Hagen Soltau, Hong-Kwang Kuo, George Saon

Proceedings of the 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 2013

2012

Bayesian Sensing Hidden Markov Models.

George Saon, Jen-Tzung Chien

IEEE Trans. Speech Audio Process., 2012

Large-Vocabulary Continuous Speech Recognition Systems: A Look at Some Recent Advances.

George Saon, Jen-Tzung Chien

IEEE Signal Process. Mag., 2012

Boosting systems for large vocabulary continuous speech recognition.

George Saon, Hagen Soltau

Speech Commun., 2012

Discriminative feature-space transforms using deep neural networks.

George Saon, Brian Kingsbury

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

Sparse Bayesian Factor Analysis for Stereo-based Stochastic Mapping.

Xiaodong Cui, Mohamed Afify, George Saon, Vaibhava Goel

Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

Recent developments in large vocabulary continuous speech recognition.

George Saon, Jen-Tzung Chien

Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2012

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

Discriminative training for Bayesian sensing hidden Markov models.

George Saon, Jen-Tzung Chien

Proceedings of the IEEE International Conference on Acoustics, 2011

Bayesian sensing hidden Markov models for speech recognition.

George Saon, Jen-Tzung Chien

Proceedings of the IEEE International Conference on Acoustics, 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

Proceedings of the IEEE International Conference on Acoustics, 2011

Some properties of Bayesian sensing hidden Markov models.

George Saon, Jen-Tzung Chien

Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 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

Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

Minimum Bayes risk discriminative language models for Arabic speech recognition.

Hong-Kwang Jeff Kuo, Ebru Arisoy, Lidia Mangu, George Saon

Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

2010

The IBM Attila speech recognition toolkit.

Hagen Soltau, George Saon, Brian Kingsbury

Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

Boosting systems for LVCSR.

George Saon, Hagen Soltau

Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

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

Proceedings of the IEEE International Conference on Acoustics, 2010

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

Large margin semi-tied covariance transforms for discriminative training.

George Saon, Daniel Povey, Hagen Soltau

Proceedings of the IEEE International Conference on Acoustics, 2009

Dynamic network decoding revisited.

Hagen Soltau, George Saon

Proceedings of the 2009 IEEE Workshop on Automatic Speech Recognition & Understanding, 2009

2008

Penalty function maximization for large margin HMM training.

George Saon, Daniel Povey

Proceedings of the 9th Annual Conference of the International Speech Communication Association, 2008

Boosted MMI for model and feature-space discriminative training.

Daniel Povey, Dimitri Kanevsky, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Karthik Visweswariah

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

The IBM 2006 Gale Arabic ASR System.

Hagen Soltau, George Saon, Brian Kingsbury, Hong-Kwang Jeff Kuo, Lidia Mangu, Daniel Povey, Geoffrey Zweig

Proceedings of the IEEE International Conference on Acoustics, 2007

Lattice-based Viterbi decoding techniques for speech translation.

George Saon, Michael Picheny

Proceedings of the IEEE Workshop on Automatic Speech Recognition & Understanding, 2007

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

On the Effect Ofword Error Rate on Automated Quality Monitoring.

George Saon, Bhuvana Ramabhadran, Geoffrey Zweig

Proceedings of the 2006 IEEE ACL Spoken Language Technology Workshop, 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

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics, 2006

Feature and model space speaker adaptation with full covariance Gaussians.

Daniel Povey, George Saon

Proceedings of the Ninth International Conference on Spoken Language Processing, 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

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Non-Linear Speaker Adaptation Technique using Kernel Ridge Regression.

George Saon

Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005

Anatomy of an extremely fast LVCSR decoder.

George Saon, Daniel Povey, Geoffrey Zweig

Proceedings of the 9th European Conference on Speech Communication and Technology, 2005

The IBM 2004 Conversational Telephony System for Rich Transcription.

Hagen Soltau, Brian Kingsbury, Lidia Mangu, Daniel Povey, George Saon, Geoffrey Zweig

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

fMPE: Discriminatively Trained Features for Speech Recognition.

Daniel Povey, Brian Kingsbury, Lidia Mangu, George Saon, Hagen Soltau, Geoffrey Zweig

Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004

Arc minimization in finite-state decoding graphs with cross-word acoustic context.

François Yvon, Geoffrey Zweig, George Saon

Comput. Speech Lang., 2004

Fractional Fourier transform features for speech recognition.

Ruhi Sarikaya, Yuqing Gao, George Saon

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Feature space Gaussianization.

George Saon, Satya Dharanipragada, Daniel Povey

Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003

An architecture for rapid decoding of large vocabulary conversational speech.

George Saon, Geoffrey Zweig, Brian Kingsbury, Lidia Mangu, Upendra V. Chaudhari

Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

Toward domain-independent conversational speech recognition.

Brian Kingsbury, Lidia Mangu, George Saon, Geoffrey Zweig, Scott Axelrod, Vaibhava Goel, Karthik Visweswariah, Michael Picheny

Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

2002

Automatic speech recognition performance on a voicemail transcription task.

Mukund Padmanabhan, George Saon, Jing Huang, Brian Kingsbury, Lidia Mangu

IEEE Trans. Speech Audio Process., 2002

Improvements to the IBM Aurora 2 multi-condition system.

George Saon, Juan M. Huerta

Proceedings of the 7th International Conference on Spoken Language Processing, ICSLP2002, 2002

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

Brian Kingsbury, George Saon, Lidia Mangu, Mukund Padmanabhan, Ruhi Sarikaya

Proceedings of the IEEE International Conference on Acoustics, 2002

Digit recognition in noisy environments via a sequential GMM/SVM system.

Shai Fine, George Saon, Ramesh A. Gopinath

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Data-driven approach to designing compound words for continuous speech recognition.

George Saon, Mukund Padmanabhan

IEEE Trans. Speech Audio Process., 2001

Robust digit recognition in noisy environments: the IBM Aurora 2 system.

George Saon, Juan M. Huerta, Ea-Ee Jan

Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Linear feature space projections for speaker adaptation.

George Saon, Geoffrey Zweig, Mukund Padmanabhan

Proceedings of the IEEE International Conference on Acoustics, 2001

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, Peder A. Olsen, Michael Picheny, Harry Printz, Bhuvana Ramabhadran, Andrej Sakrajda, George Saon, Borivoj Tydlitát, Karthik Visweswariah, D. Yuk

Proceedings of the IEEE International Conference on Acoustics, 2001

2000

Minimum Bayes Error Feature Selection for Continuous Speech Recognition.

George Saon, Mukund Padmanabhan

Proceedings of the Advances in Neural Information Processing Systems 13, 2000

Minimum Bayes error feature selection.

George Saon, Mukund Padmanabhan

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Real-time multilingual HMM training robust to channel variations.

Ea-Ee Jan, Jaime Botella Ordinas, George Saon, Salim Roukos

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

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

Jing Huang, Brian Kingsbury, Lidia Mangu, Mukund Padmanabhan, George Saon, Geoffrey Zweig

Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Maximum likelihood discriminant feature spaces.

George Saon, Mukund Padmanabhan, Ramesh A. Gopinath, Scott Saobing Chen

Proceedings of the IEEE International Conference on Acoustics, 2000

1999

Cursive word recognition using a random field based hidden Markov model.

George Saon

Int. J. Document Anal. Recognit., 1999

Recent improvements in voicemail transcription.

Mukund Padmanabhan, George Saon, Sankar Basu, Jing Huang, Geoffrey Zweig

Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

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

PhD thesis, 1997

High Performance Unconstrained Word Recognition System Combining HMMs and Markov Random Fields.

George Saon, Abdel Belaïd

Int. J. Pattern Recognit. Artif. Intell., 1997

Binary pattern recognition using Markov random fields and HMMs.

George Saon, Abdel Belaïd

Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1995

Stochastic trajectory modeling for recognition of unconstrained handwritten words.

George Saon, Abdel Belaïd, Yifan Gong

Proceedings of the Third International Conference on Document Analysis and Recognition, 1995

1994

Off-line Handwriting Recognition by Statistical Correlation.

George Saon, Abdel Belaïd, Yifan Gong

Proceedings of IAPR Workshop on Machine Vision Applications, 1994