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2020 – today
- 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 - [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
- [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) - [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 - [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
- [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) - [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 - [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)
2010 – 2019
- 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 - [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) - 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
- [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) - [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 - [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
- [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 - [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
- [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) - [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 - [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) - 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 - [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 - 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 - [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) - 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) - [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
- [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) - [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