default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGeorge Saon
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Books and Theses
- 1997
[b1]George Saon:
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). Henri Poincaré University, Nancy, France, 1997
Journal Articles
- 2021
- [j16]Xiaodong Cui
, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung:
Asynchronous Decentralized Distributed Training of Acoustic Models. IEEE ACM Trans. Audio Speech Lang. Process. 29: 3565-3576 (2021) - 2020
- [j15]Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David S. Kung:
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies. IEEE Signal Process. Mag. 37(3): 39-49 (2020) - 2017
- [j14]George Saon, Michael Picheny:
Recent advances in conversational speech recognition using convolutional and recurrent neural networks. IBM J. Res. Dev. 61(4-5): 1:1-1:10 (2017) - [j13]Kartik Audhkhasi, Andrew Rosenberg, George Saon, Abhinav Sethy, Bhuvana Ramabhadran, Stanley F. Chen, Michael Picheny:
Recent progress in deep end-to-end models for spoken language processing. IBM J. Res. Dev. 61(4-5): 2:1-2:10 (2017) - 2015
- [j12]Tara N. Sainath, Brian Kingsbury, George Saon, Hagen Soltau, Abdel-rahman Mohamed, George E. Dahl, Bhuvana Ramabhadran:
Deep Convolutional Neural Networks for Large-scale Speech Tasks. Neural Networks 64: 39-48 (2015) - 2012
- [j11]George Saon, Hagen Soltau:
Boosting systems for large vocabulary continuous speech recognition. Speech Commun. 54(2): 212-218 (2012) - [j10]George Saon, Jen-Tzung Chien:
Large-Vocabulary Continuous Speech Recognition Systems: A Look at Some Recent Advances. IEEE Signal Process. Mag. 29(6): 18-33 (2012) - [j9]George Saon, Jen-Tzung Chien:
Bayesian Sensing Hidden Markov Models. IEEE Trans. Speech Audio Process. 20(1): 43-54 (2012) - 2011
- [j8]Michael Picheny, David Nahamoo, Vaibhava Goel, Brian Kingsbury, Bhuvana Ramabhadran, Steven J. Rennie, George Saon:
Trends and advances in speech recognition. IBM J. Res. Dev. 55(5): 2 (2011) - 2009
- [j7]Hagen Soltau, George Saon, Brian Kingsbury, Hong-Kwang Jeff Kuo, Lidia Mangu, Daniel Povey, Ahmad Emami:
Advances in Arabic Speech Transcription at IBM Under the DARPA GALE Program. IEEE Trans. Speech Audio Process. 17(5): 884-894 (2009) - 2006
- [j6]Stanley F. Chen, Brian Kingsbury, Lidia Mangu, Daniel Povey, George Saon, Hagen Soltau, Geoffrey Zweig:
Advances in speech transcription at IBM under the DARPA EARS program. IEEE Trans. Speech Audio Process. 14(5): 1596-1608 (2006) - 2004
- [j5]François Yvon, Geoffrey Zweig, George Saon:
Arc minimization in finite-state decoding graphs with cross-word acoustic context. Comput. Speech Lang. 18(4): 397-415 (2004) - 2002
- [j4]Mukund Padmanabhan, George Saon, Jing Huang, Brian Kingsbury, Lidia Mangu:
Automatic speech recognition performance on a voicemail transcription task. IEEE Trans. Speech Audio Process. 10(7): 433-442 (2002) - 2001
- [j3]George Saon, Mukund Padmanabhan:
Data-driven approach to designing compound words for continuous speech recognition. IEEE Trans. Speech Audio Process. 9(4): 327-332 (2001) - 1999
- [j2]George Saon:
Cursive word recognition using a random field based hidden Markov model. Int. J. Document Anal. Recognit. 1(4): 199-208 (1999) - 1997
- [j1]George Saon, Abdel Belaïd:
High Performance Unconstrained Word Recognition System Combining HMMs and Markov Random Fields. Int. J. Pattern Recognit. Artif. Intell. 11(5): 771-788 (1997)
Conference and Workshop Papers
- 2024
- [c113]Takuma Udagawa, Masayuki Suzuki, Gakuto Kurata, Masayasu Muraoka, George Saon:
Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems. ICASSP 2024: 10176-10180 - [c112]Siddhant Arora, George Saon, Shinji Watanabe, Brian Kingsbury:
Semi-Autoregressive Streaming ASR with Label Context. ICASSP 2024: 11681-11685 - 2023
- [c111]Ashish R. Mittal, Sunita Sarawagi, Preethi Jyothi, George Saon, Gakuto Kurata:
Speech-enriched Memory for Inference-time Adaptation of ASR Models to Word Dictionaries. EMNLP 2023: 14820-14835 - [c110]George Saon, Ankit Gupta, Xiaodong Cui:
Diagonal State Space Augmented Transformers for Speech Recognition. ICASSP 2023: 1-5 - [c109]Samuel Thomas, Hong-Kwang Jeff Kuo, George Saon, Brian Kingsbury:
Multi-Speaker Data Augmentation for Improved end-to-end Automatic Speech Recognition. ICASSP 2023: 1-5 - [c108]Xiaodong Cui, George Saon, Brian Kingsbury:
Improving RNN Transducer Acoustic Models for English Conversational Speech Recognition. INTERSPEECH 2023: 1299-1303 - 2022
- [c107]Thomas Bohnstingl, Ayush Garg, Stanislaw Wozniak, George Saon, Evangelos Eleftheriou, Angeliki Pantazi:
Speech Recognition Using Biologically-Inspired Neural Networks. ICASSP 2022: 6992-6996 - [c106]Hong-Kwang Jeff Kuo, Zoltán Tüske, Samuel Thomas, Brian Kingsbury, George Saon:
Improving End-to-end Models for Set Prediction in Spoken Language Understanding. ICASSP 2022: 7162-7166 - [c105]Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury, George Saon:
Towards Reducing the Need for Speech Training Data to Build Spoken Language Understanding Systems. ICASSP 2022: 7932-7936 - [c104]Samuel Thomas, Brian Kingsbury, George Saon, Hong-Kwang Jeff Kuo:
Integrating Text Inputs for Training and Adapting RNN Transducer ASR Models. ICASSP 2022: 8127-8131 - [c103]Zvi Kons, Hagai Aronowitz, Edmilson da Silva Morais, Matheus Damasceno, Hong-Kwang Kuo, Samuel Thomas, George Saon:
Extending RNN-T-based speech recognition systems with emotion and language classification. INTERSPEECH 2022: 546-549 - [c102]Jiatong Shi, George Saon, David Haws, Shinji Watanabe, Brian Kingsbury:
VQ-T: RNN Transducers using Vector-Quantized Prediction Network States. INTERSPEECH 2022: 1656-1660 - [c101]Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Kailash Gopalakrishnan:
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization. INTERSPEECH 2022: 2038-2042 - [c100]Xiaodong Cui, George Saon, Tohru Nagano, Masayuki Suzuki, Takashi Fukuda, Brian Kingsbury, Gakuto Kurata:
Improving Generalization of Deep Neural Network Acoustic Models with Length Perturbation and N-best Based Label Smoothing. INTERSPEECH 2022: 2638-2642 - [c99]Takashi Fukuda, Samuel Thomas, Masayuki Suzuki, Gakuto Kurata, George Saon, Brian Kingsbury:
Global RNN Transducer Models For Multi-dialect Speech Recognition. INTERSPEECH 2022: 3138-3142 - [c98]Takuma Udagawa, Masayuki Suzuki, Gakuto Kurata, Nobuyasu Itoh, George Saon:
Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems. INTERSPEECH 2022: 3919-3923 - 2021
- [c97]George Saon, Zoltán Tüske, Daniel Bolaños, Brian Kingsbury:
Advancing RNN Transducer Technology for Speech Recognition. ICASSP 2021: 5654-5658 - [c96]Samuel Thomas, Hong-Kwang Jeff Kuo, George Saon, Zoltán Tüske, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory:
RNN Transducer Models for Spoken Language Understanding. ICASSP 2021: 7493-7497 - [c95]Jatin Ganhotra, Samuel Thomas, Hong-Kwang Jeff Kuo, Sachindra Joshi, George Saon, Zoltán Tüske, Brian Kingsbury:
Integrating Dialog History into End-to-End Spoken Language Understanding Systems. Interspeech 2021: 1254-1258 - [c94]Xiaodong Cui, Brian Kingsbury, George Saon, David Haws, Zoltán Tüske:
Reducing Exposure Bias in Training Recurrent Neural Network Transducers. Interspeech 2021: 1802-1806 - [c93]Gakuto Kurata, George Saon, Brian Kingsbury, David Haws, Zoltán Tüske:
Improving Customization of Neural Transducers by Mitigating Acoustic Mismatch of Synthesized Audio. Interspeech 2021: 2027-2031 - [c92]Zoltán Tüske, George Saon, Brian Kingsbury:
On the Limit of English Conversational Speech Recognition. Interspeech 2021: 2062-2066 - [c91]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:
4-Bit Quantization of LSTM-Based Speech Recognition Models. Interspeech 2021: 2586-2590 - 2020
- [c90]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:
Improving Efficiency in Large-Scale Decentralized Distributed Training. ICASSP 2020: 3022-3026 - [c89]George Saon, Zoltán Tüske, Kartik Audhkhasi:
Alignment-Length Synchronous Decoding for RNN Transducer. ICASSP 2020: 7804-7808 - [c88]Zoltán Tüske, George Saon, Kartik Audhkhasi, Brian Kingsbury:
Single Headed Attention Based Sequence-to-Sequence Model for State-of-the-Art Results on Switchboard. INTERSPEECH 2020: 551-555 - [c87]Gakuto Kurata, George Saon:
Knowledge Distillation from Offline to Streaming RNN Transducer for End-to-End Speech Recognition. INTERSPEECH 2020: 2117-2121 - 2019
- [c86]George Saon, Zoltán Tüske, Kartik Audhkhasi, Brian Kingsbury, Michael Picheny, Samuel Thomas:
Simplified LSTMS for Speech Recognition. ASRU 2019: 547-553 - [c85]Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny:
Distributed Deep Learning Strategies for Automatic Speech Recognition. ICASSP 2019: 5706-5710 - [c84]George Saon, Zoltán Tüske, Kartik Audhkhasi, Brian Kingsbury:
Sequence Noise Injected Training for End-to-end Speech Recognition. ICASSP 2019: 6261-6265 - [c83]Samuel Thomas, Masayuki Suzuki, Yinghui Huang, Gakuto Kurata, Zoltán Tüske, George Saon, Brian Kingsbury, Michael Picheny, Tom Dibert, Alice Kaiser-Schatzlein, Bern Samko:
English Broadcast News Speech Recognition by Humans and Machines. ICASSP 2019: 6455-6459 - [c82]Michael Picheny, Zoltán Tüske, Brian Kingsbury, Kartik Audhkhasi, Xiaodong Cui, George Saon:
Challenging the Boundaries of Speech Recognition: The MALACH Corpus. INTERSPEECH 2019: 326-330 - [c81]Kartik Audhkhasi, George Saon, Zoltán Tüske, Brian Kingsbury, Michael Picheny:
Forget a Bit to Learn Better: Soft Forgetting for CTC-Based Automatic Speech Recognition. INTERSPEECH 2019: 2618-2622 - [c80]Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny:
A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition. INTERSPEECH 2019: 2628-2632 - [c79]Zoltán Tüske, Kartik Audhkhasi, George Saon:
Advancing Sequence-to-Sequence Based Speech Recognition. INTERSPEECH 2019: 3780-3784 - 2018
- [c78]Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Michael Picheny:
Building Competitive Direct Acoustics-to-Word Models for English Conversational Speech Recognition. ICASSP 2018: 4759-4763 - 2017
- [c77]Gakuto Kurata, Bhuvana Ramabhadran, George Saon, Abhinav Sethy:
Language modeling with highway LSTM. ASRU 2017: 244-251 - [c76]Jia Cui, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Tom Sercu, Kartik Audhkhasi, Abhinav Sethy, Markus Nußbaum-Thom, Andrew Rosenberg:
Knowledge distillation across ensembles of multilingual models for low-resource languages. ICASSP 2017: 4825-4829 - [c75]Tom Sercu, George Saon, Jia Cui, Xiaodong Cui, Bhuvana Ramabhadran, Brian Kingsbury, Abhinav Sethy:
Network architectures for multilingual speech representation learning. ICASSP 2017: 5295-5299 - [c74]Xiaodong Cui, Vaibhava Goel, George Saon:
Embedding-Based Speaker Adaptive Training of Deep Neural Networks. INTERSPEECH 2017: 122-126 - [c73]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:
English Conversational Telephone Speech Recognition by Humans and Machines. INTERSPEECH 2017: 132-136 - [c72]Gakuto Kurata, Abhinav Sethy, Bhuvana Ramabhadran, George Saon:
Empirical Exploration of Novel Architectures and Objectives for Language Models. INTERSPEECH 2017: 279-283 - [c71]Kartik Audhkhasi, Bhuvana Ramabhadran, George Saon, Michael Picheny, David Nahamoo:
Direct Acoustics-to-Word Models for English Conversational Speech Recognition. INTERSPEECH 2017: 959-963 - [c70]Guojing Cong, Brian Kingsbury, Soumyadip Gosh, George Saon, Fan Zhou:
Accelerating deep neural network learning for speech recognition on a cluster of GPUs. MLHPC@SC 2017: 3:1-3:8 - 2016
- [c69]David Haws, Dimitrios Dimitriadis, George Saon, Samuel Thomas, Michael Picheny:
On the importance of event detection for ASR. ICASSP 2016: 5705-5709 - [c68]George Saon, Tom Sercu, Steven J. Rennie, Hong-Kwang Jeff Kuo:
The IBM 2016 English Conversational Telephone Speech Recognition System. INTERSPEECH 2016: 7-11 - [c67]Masayuki Suzuki, Ryuki Tachibana, Samuel Thomas, Bhuvana Ramabhadran, George Saon:
Domain Adaptation of CNN Based Acoustic Models Under Limited Resource Settings. INTERSPEECH 2016: 1588-1592 - 2015
- [c66]Samuel Thomas, George Saon, Maarten Van Segbroeck, Shrikanth S. Narayanan:
Improvements to the IBM speech activity detection system for the DARPA RATS program. ICASSP 2015: 4500-4504 - [c65]Nitish Shirish Keskar, George Saon:
A nonmonotone learning rate strategy for SGD training of deep neural networks. ICASSP 2015: 4974-4978 - [c64]Lidia Mangu, George Saon, Michael Picheny, Brian Kingsbury:
Order-free spoken term detection. ICASSP 2015: 5331-5335 - [c63]George Saon, Hong-Kwang Jeff Kuo, Steven J. Rennie, Michael Picheny:
The IBM 2015 English conversational telephone speech recognition system. INTERSPEECH 2015: 3140-3144 - [c62]Samuel Thomas, George Saon, Hong-Kwang Jeff Kuo, Lidia Mangu:
The IBM BOLT speech transcription system. INTERSPEECH 2015: 3150-3153 - [c61]Jia Cui, George Saon, Bhuvana Ramabhadran, Brian Kingsbury:
A multi-region deep neural network model in speech recognition. INTERSPEECH 2015: 3244-3248 - 2014
- [c60]Samuel Thomas, Sriram Ganapathy, George Saon, Hagen Soltau:
Analyzing convolutional neural networks for speech activity detection in mismatched acoustic conditions. ICASSP 2014: 2519-2523 - [c59]George Saon, Hagen Soltau:
A comparison of two optimization techniques for sequence discriminative training of deep neural networks. ICASSP 2014: 5567-5571 - [c58]Hagen Soltau, George Saon, Tara N. Sainath:
Joint training of convolutional and non-convolutional neural networks. ICASSP 2014: 5572-5576 - [c57]Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, George Saon, Bhuvana Ramabhadran:
Improvements to filterbank and delta learning within a deep neural network framework. ICASSP 2014: 6839-6843 - [c56]George Saon, Hagen Soltau, Ahmad Emami, Michael Picheny:
Unfolded recurrent neural networks for speech recognition. INTERSPEECH 2014: 343-347 - [c55]Tara N. Sainath, I-Hsin Chung, Bhuvana Ramabhadran, Michael Picheny, John A. Gunnels, Brian Kingsbury, George Saon, Vernon Austel, Upendra V. Chaudhari:
Parallel deep neural network training for LVCSR tasks using blue gene/Q. INTERSPEECH 2014: 1048-1052 - [c54]George Saon:
A distributed architecture for fast SGD sequence discriminative training of DNN acoustic models. SLT 2014: 183-188 - 2013
- [c53]George Saon, Hagen Soltau, David Nahamoo, Michael Picheny:
Speaker adaptation of neural network acoustic models using i-vectors. ASRU 2013: 55-59 - [c52]Lidia Mangu, Hagen Soltau, Hong-Kwang Kuo, George Saon:
The IBM keyword search system for the DARPA RATS program. ASRU 2013: 204-209 - [c51]Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, George E. Dahl, George Saon, Hagen Soltau, Tomás Beran, Aleksandr Y. Aravkin, Bhuvana Ramabhadran:
Improvements to Deep Convolutional Neural Networks for LVCSR. ASRU 2013: 315-320 - [c50]Lidia Mangu, Hagen Soltau, Hong-Kwang Kuo, Brian Kingsbury, George Saon:
Exploiting diversity for spoken term detection. ICASSP 2013: 8282-8286 - [c49]Hagen Soltau, Hong-Kwang Kuo, Lidia Mangu, George Saon, Tomás Beran:
Neural network acoustic models for the DARPA RATS program. INTERSPEECH 2013: 3092-3096 - [c48]George Saon, Samuel Thomas, Hagen Soltau, Sriram Ganapathy, Brian Kingsbury:
The IBM speech activity detection system for the DARPA RATS program. INTERSPEECH 2013: 3497-3501 - 2012
- [c47]George Saon, Jen-Tzung Chien:
Recent developments in large vocabulary continuous speech recognition. APSIPA 2012: 1-6 - [c46]George Saon, Brian Kingsbury:
Discriminative feature-space transforms using deep neural networks. INTERSPEECH 2012: 14-17 - [c45]Xiaodong Cui, Mohamed Afify, George Saon, Vaibhava Goel:
Sparse Bayesian Factor Analysis for Stereo-based Stochastic Mapping. INTERSPEECH 2012: 795-798 - 2011
- [c44]George Saon, Jen-Tzung Chien:
Some properties of Bayesian sensing hidden Markov models. ASRU 2011: 65-70 - [c43]Hong-Kwang Jeff Kuo, Ebru Arisoy, Lidia Mangu, George Saon:
Minimum Bayes risk discriminative language models for Arabic speech recognition. ASRU 2011: 208-213 - [c42]Lidia Mangu, Hong-Kwang Kuo, Stephen M. Chu, Brian Kingsbury, George Saon, Hagen Soltau, Fadi Biadsy:
The IBM 2011 GALE Arabic speech transcription system. ASRU 2011: 272-277 - [c41]Brian Kingsbury, Hagen Soltau, George Saon, Stephen M. Chu, Hong-Kwang Kuo, Lidia Mangu, Suman V. Ravuri, Nelson Morgan, Adam Janin:
The IBM 2009 GALE Arabic speech transcription system. ICASSP 2011: 4672-4675 - [c40]George Saon, Jen-Tzung Chien:
Bayesian sensing hidden Markov models for speech recognition. ICASSP 2011: 5056-5059 - [c39]George Saon, Jen-Tzung Chien:
Discriminative training for Bayesian sensing hidden Markov models. ICASSP 2011: 5316-5319 - [c38]George Saon, Jen-Tzung Chien:
Bayesian sensing hidden Markov models for speech recognition. MLSLP 2011 - 2010
- [c37]George Saon, Hagen Soltau, Upendra V. Chaudhari, Stephen M. Chu, Brian Kingsbury, Hong-Kwang Kuo, Lidia Mangu, Daniel Povey:
The IBM 2008 GALE Arabic speech transcription system. ICASSP 2010: 4378-4381 - [c36]George Saon, Hagen Soltau:
Boosting systems for LVCSR. INTERSPEECH 2010: 1341-1344 - [c35]Hagen Soltau, George Saon, Brian Kingsbury:
The IBM Attila speech recognition toolkit. SLT 2010: 97-102 - 2009
- [c34]Hagen Soltau, George Saon:
Dynamic network decoding revisited. ASRU 2009: 276-281 - [c33]George Saon, Daniel Povey, Hagen Soltau:
Large margin semi-tied covariance transforms for discriminative training. ICASSP 2009: 3753-3756 - 2008
- [c32]Daniel Povey, Dimitri Kanevsky, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Karthik Visweswariah:
Boosted MMI for model and feature-space discriminative training. ICASSP 2008: 4057-4060 - [c31]George Saon, Daniel Povey:
Penalty function maximization for large margin HMM training. INTERSPEECH 2008: 920-923 - 2007
- [c30]George Saon, Michael Picheny:
Lattice-based Viterbi decoding techniques for speech translation. ASRU 2007: 386-389 - [c29]Hagen Soltau, George Saon, Brian Kingsbury, Hong-Kwang Jeff Kuo, Lidia Mangu, Daniel Povey, Geoffrey Zweig:
The IBM 2006 Gale Arabic ASR System. ICASSP (4) 2007: 349-352 - 2006
- [c28]George Saon:
A Non-Linear Speaker Adaptation Technique using Kernel Ridge Regression. ICASSP (1) 2006: 225-228 - [c27]Geoffrey Zweig, Olivier Siohan, George Saon, Bhuvana Ramabhadran, Daniel Povey, Lidia Mangu, Brian Kingsbury:
Automated Quality Monitoring in the Call Center with ASR and Maximum Entropy. ICASSP (1) 2006: 589-592 - [c26]Daniel Povey, George Saon:
Feature and model space speaker adaptation with full covariance Gaussians. INTERSPEECH 2006 - [c25]Geoffrey Zweig, Olivier Siohan, George Saon, Bhuvana Ramabhadran, Daniel Povey, Lidia Mangu, Brian Kingsbury:
Automated Quality Monitoring for Call Centers using Speech and NLP Technologies. HLT-NAACL 2006 - [c24]George Saon, Bhuvana Ramabhadran, Geoffrey Zweig:
On the Effect Ofword Error Rate on Automated Quality Monitoring. SLT 2006: 106-109 - 2005
- [c23]Hagen Soltau, Brian Kingsbury, Lidia Mangu, Daniel Povey, George Saon, Geoffrey Zweig:
The IBM 2004 Conversational Telephony System for Rich Transcription. ICASSP (1) 2005: 205-208 - [c22]Daniel Povey, Brian Kingsbury, Lidia Mangu, George Saon, Hagen Soltau, Geoffrey Zweig:
fMPE: Discriminatively Trained Features for Speech Recognition. ICASSP (1) 2005: 961-964 - [c21]George Saon, Daniel Povey, Geoffrey Zweig:
Anatomy of an extremely fast LVCSR decoder. INTERSPEECH 2005: 549-552 - 2004
- [c20]Ruhi Sarikaya, Yuqing Gao, George Saon:
Fractional Fourier transform features for speech recognition. ICASSP (1) 2004: 52 - [c19]George Saon, Satya Dharanipragada, Daniel Povey:
Feature space Gaussianization. ICASSP (1) 2004: 329-332 - 2003
- [c18]Brian Kingsbury, Lidia Mangu, George Saon, Geoffrey Zweig, Scott Axelrod, Vaibhava Goel, Karthik Visweswariah, Michael Picheny:
Toward domain-independent conversational speech recognition. INTERSPEECH 2003: 1881-1884 - [c17]George Saon, Geoffrey Zweig, Brian Kingsbury, Lidia Mangu, Upendra V. Chaudhari:
An architecture for rapid decoding of large vocabulary conversational speech. INTERSPEECH 2003: 1977-1980 - 2002
- [c16]Shai Fine, George Saon, Ramesh A. Gopinath:
Digit recognition in noisy environments via a sequential GMM/SVM system. ICASSP 2002: 49-52 - [c15]Brian Kingsbury, George Saon, Lidia Mangu, Mukund Padmanabhan, Ruhi Sarikaya:
Robust speech recognition in Noisy Environments: The 2001 IBM spine evaluation system. ICASSP 2002: 53-56 - [c14]Geoffrey Zweig, George Saon, François Yvon:
Arc minimization in finite state decoding graphs with cross-word acoustic context. INTERSPEECH 2002: 389-392 - [c13]George Saon, Juan M. Huerta:
Improvements to the IBM Aurora 2 multi-condition system. INTERSPEECH 2002: 469-472 - 2001
- [c12]George Saon, Geoffrey Zweig, Mukund Padmanabhan:
Linear feature space projections for speaker adaptation. ICASSP 2001: 325-328 - [c11]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:
Speech recognition for DARPA Communicator. ICASSP 2001: 489-492 - [c10]George Saon, Juan M. Huerta, Ea-Ee Jan:
Robust digit recognition in noisy environments: the IBM Aurora 2 system. INTERSPEECH 2001: 629-632 - 2000
- [c9]George Saon, Mukund Padmanabhan, Ramesh A. Gopinath, Scott Saobing Chen:
Maximum likelihood discriminant feature spaces. ICASSP 2000: 1129-1132 - [c8]George Saon, Mukund Padmanabhan:
Minimum Bayes error feature selection. INTERSPEECH 2000: 75-78 - [c7]Jing Huang, Brian Kingsbury, Lidia Mangu, Mukund Padmanabhan, George Saon, Geoffrey Zweig:
Recent improvements in speech recognition performance on large vocabulary conversational speech (voicemail and switchboard). INTERSPEECH 2000: 338-341 - [c6]Ea-Ee Jan, Jaime Botella Ordinas, George Saon, Salim Roukos:
Real-time multilingual HMM training robust to channel variations. INTERSPEECH 2000: 925-928 - [c5]George Saon, Mukund Padmanabhan:
Minimum Bayes Error Feature Selection for Continuous Speech Recognition. NIPS 2000: 800-806 - 1999
- [c4]Mukund Padmanabhan, George Saon, Sankar Basu, Jing Huang, Geoffrey Zweig:
Recent improvements in voicemail transcription. EUROSPEECH 1999: 503-506 - 1997
- [c3]George Saon, Abdel Belaïd:
Binary pattern recognition using Markov random fields and HMMs. ICASSP 1997: 3725-3728 - 1995
- [c2]George Saon, Abdel Belaïd, Yifan Gong:
Stochastic trajectory modeling for recognition of unconstrained handwritten words. ICDAR 1995: 508-511 - 1994
- [c1]George Saon, Abdel Belaïd, Yifan Gong:
Off-line Handwriting Recognition by Statistical Correlation. MVA 1994: 371-374
Parts in Books or Collections
- 2014
- [p1]Hagen Soltau, George Saon, Lidia Mangu, Hong-Kwang Kuo, Brian Kingsbury, Stephen M. Chu, Fadi Biadsy:
Automatic Speech Recognition. NLP of Semitic Languages 2014: 409-459
Informal and Other Publications
- 2024
- [i36]Ankit Gupta, George Saon, Brian Kingsbury:
Exploring the limits of decoder-only models trained on public speech recognition corpora. CoRR abs/2402.00235 (2024) - 2023
- [i35]George Saon, Ankit Gupta, Xiaodong Cui:
Diagonal State Space Augmented Transformers for Speech Recognition. CoRR abs/2302.14120 (2023) - [i34]Takuma Udagawa, Masayuki Suzuki, Gakuto Kurata, Masayasu Muraoka, George Saon:
Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems. CoRR abs/2309.04031 (2023) - [i33]Siddhant Arora, George Saon, Shinji Watanabe, Brian Kingsbury:
Semi-Autoregressive Streaming ASR With Label Context. CoRR abs/2309.10926 (2023) - [i32]Xiaodong Cui, Ashish R. Mittal, Songtao Lu, Wei Zhang, George Saon, Brian Kingsbury:
Soft Random Sampling: A Theoretical and Empirical Analysis. CoRR abs/2311.12727 (2023) - 2022
- [i31]Hong-Kwang Jeff Kuo, Zoltán Tüske, Samuel Thomas, Brian Kingsbury, George Saon:
Improving End-to-End Models for Set Prediction in Spoken Language Understanding. CoRR abs/2201.12105 (2022) - [i30]Samuel Thomas, Brian Kingsbury, George Saon, Hong-Kwang Jeff Kuo:
Integrating Text Inputs For Training and Adapting RNN Transducer ASR Models. CoRR abs/2202.13155 (2022) - [i29]Samuel Thomas, Hong-Kwang Jeff Kuo, Brian Kingsbury, George Saon:
Towards Reducing the Need for Speech Training Data To Build Spoken Language Understanding Systems. CoRR abs/2203.00006 (2022) - [i28]Xiaodong Cui, George Saon, Tohru Nagano, Masayuki Suzuki, Takashi Fukuda, Brian Kingsbury, Gakuto Kurata:
Improving Generalization of Deep Neural Network Acoustic Models with Length Perturbation and N-best Based Label Smoothing. CoRR abs/2203.15176 (2022) - [i27]Takuma Udagawa, Masayuki Suzuki, Gakuto Kurata, Nobuyasu Itoh, George Saon:
Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems. CoRR abs/2204.00212 (2022) - [i26]Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Kailash Gopalakrishnan:
Accelerating Inference and Language Model Fusion of Recurrent Neural Network Transducers via End-to-End 4-bit Quantization. CoRR abs/2206.07882 (2022) - [i25]Zvi Kons, Hagai Aronowitz, Edmilson da Silva Morais, Matheus Damasceno, Hong-Kwang Kuo, Samuel Thomas, George Saon:
Extending RNN-T-based speech recognition systems with emotion and language classification. CoRR abs/2207.13965 (2022) - [i24]Jiatong Shi, George Saon, David Haws, Shinji Watanabe, Brian Kingsbury:
VQ-T: RNN Transducers using Vector-Quantized Prediction Network States. CoRR abs/2208.01818 (2022) - 2021
- [i23]George Saon, Zoltán Tüske, Daniel Bolaños, Brian Kingsbury:
Advancing RNN Transducer Technology for Speech Recognition. CoRR abs/2103.09935 (2021) - [i22]Samuel Thomas, Hong-Kwang Jeff Kuo, George Saon, Zoltán Tüske, Brian Kingsbury, Gakuto Kurata, Zvi Kons, Ron Hoory:
RNN Transducer Models For Spoken Language Understanding. CoRR abs/2104.03842 (2021) - [i21]Zoltán Tüske, George Saon, Brian Kingsbury:
On the limit of English conversational speech recognition. CoRR abs/2105.00982 (2021) - [i20]Jatin Ganhotra, Samuel Thomas, Hong-Kwang Jeff Kuo, Sachindra Joshi, George Saon, Zoltán Tüske, Brian Kingsbury:
Integrating Dialog History into End-to-End Spoken Language Understanding Systems. CoRR abs/2108.08405 (2021) - [i19]Xiaodong Cui, Brian Kingsbury, George Saon, David Haws, Zoltán Tüske:
Reducing Exposure Bias in Training Recurrent Neural Network Transducers. CoRR abs/2108.10803 (2021) - [i18]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:
4-bit Quantization of LSTM-based Speech Recognition Models. CoRR abs/2108.12074 (2021) - [i17]Thomas Bohnstingl, Ayush Garg, Stanislaw Wozniak, George Saon, Evangelos Eleftheriou, Angeliki Pantazi:
Towards efficient end-to-end speech recognition with biologically-inspired neural networks. CoRR abs/2110.02743 (2021) - [i16]Xiaodong Cui, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung:
Asynchronous Decentralized Distributed Training of Acoustic Models. CoRR abs/2110.11199 (2021) - 2020
- [i15]Zoltán Tüske, George Saon, Kartik Audhkhasi, Brian Kingsbury:
Single headed attention based sequence-to-sequence model for state-of-the-art results on Switchboard-300. CoRR abs/2001.07263 (2020) - [i14]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:
Improving Efficiency in Large-Scale Decentralized Distributed Training. CoRR abs/2002.01119 (2020) - [i13]Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David S. Kung:
Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition. CoRR abs/2002.10502 (2020) - 2019
- [i12]Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny:
Distributed Deep Learning Strategies For Automatic Speech Recognition. CoRR abs/1904.04956 (2019) - [i11]Samuel Thomas, Masayuki Suzuki, Yinghui Huang, Gakuto Kurata, Zoltán Tüske, George Saon, Brian Kingsbury, Michael Picheny, Tom Dibert, Alice Kaiser-Schatzlein, Bern Samko:
English Broadcast News Speech Recognition by Humans and Machines. CoRR abs/1904.13258 (2019) - [i10]Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny:
A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition. CoRR abs/1907.05701 (2019) - [i9]Michael Picheny, Zoltán Tüske, Brian Kingsbury, Kartik Audhkhasi, Xiaodong Cui, George Saon:
Challenging the Boundaries of Speech Recognition: The MALACH Corpus. CoRR abs/1908.03455 (2019) - 2017
- [i8]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:
English Conversational Telephone Speech Recognition by Humans and Machines. CoRR abs/1703.02136 (2017) - [i7]Kartik Audhkhasi, Bhuvana Ramabhadran, George Saon, Michael Picheny, David Nahamoo:
Direct Acoustics-to-Word Models for English Conversational Speech Recognition. CoRR abs/1703.07754 (2017) - [i6]Gakuto Kurata, Bhuvana Ramabhadran, George Saon, Abhinav Sethy:
Language Modeling with Highway LSTM. CoRR abs/1709.06436 (2017) - [i5]Xiaodong Cui, Vaibhava Goel, George Saon:
Embedding-Based Speaker Adaptive Training of Deep Neural Networks. CoRR abs/1710.06937 (2017) - [i4]Kartik Audhkhasi, Brian Kingsbury, Bhuvana Ramabhadran, George Saon, Michael Picheny:
Building competitive direct acoustics-to-word models for English conversational speech recognition. CoRR abs/1712.03133 (2017) - 2016
- [i3]George Saon, Tom Sercu, Steven J. Rennie, Hong-Kwang Jeff Kuo:
The IBM 2016 English Conversational Telephone Speech Recognition System. CoRR abs/1604.08242 (2016) - 2015
- [i2]George Saon, Hong-Kwang Jeff Kuo, Steven J. Rennie, Michael Picheny:
The IBM 2015 English Conversational Telephone Speech Recognition System. CoRR abs/1505.05899 (2015) - 2013
- [i1]Tara N. Sainath, Brian Kingsbury, Abdel-rahman Mohamed, George E. Dahl, George Saon, Hagen Soltau, Tomás Beran, Aleksandr Y. Aravkin, Bhuvana Ramabhadran:
Improvements to deep convolutional neural networks for LVCSR. CoRR abs/1309.1501 (2013)
Coauthor Index
[j16] [j12] [j8] [j7] [j6] [j4] [c112] [c109] [c108] [c106] [c105] [c104] [c102] [c101] [c100] [c99] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c88] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [c78] [c76] [c75] [c70] [c64] [c61] [c57] [c55] [c51] [c50] [c48] [c46] [c42] [c41] [c37] [c35] [c32] [c29] [c27] [c25] [c23] [c22] [c18] [c17] [c15] [c7] [p1] [i36] [i33] [i32] [i31] [i30] [i29] [i28] [i26] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i16] [i15] [i14] [i12] [i11] [i10] [i9] [i4] [i1]
Hong-Kwang Jeff Kuo
aka: Hong-Kwang Kuo
aka: Hong-Kwang Kuo
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-30 01:12 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
