|Deep convolutional neural networks for large-scale speech tasks|
TN Sainath, B Kingsbury, G Saon, H Soltau, A Mohamed, G Dahl, ...
Neural networks 64, 39-48, 2015
|Low-rank matrix factorization for deep neural network training with high-dimensional output targets|
TN Sainath, B Kingsbury, V Sindhwani, E Arisoy, B Ramabhadran
2013 IEEE international conference on acoustics, speech and signal …, 2013
|Boosted MMI for model and feature-space discriminative training|
D Povey, D Kanevsky, B Kingsbury, B Ramabhadran, G Saon, ...
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
|English conversational telephone speech recognition by humans and machines|
G Saon, G Kurata, T Sercu, K Audhkhasi, S Thomas, D Dimitriadis, X Cui, ...
arXiv preprint arXiv:1703.02136, 2017
|Deep belief networks using discriminative features for phone recognition|
A Mohamed, TN Sainath, G Dahl, B Ramabhadran, GE Hinton, ...
2011 IEEE international conference on acoustics, speech and signal …, 2011
|Deep neural network language models|
E Arisoy, TN Sainath, B Kingsbury, B Ramabhadran
Proceedings of the NAACL-HLT 2012 Workshop: Will We Ever Really Replace the …, 2012
|Improvements to deep convolutional neural networks for LVCSR|
TN Sainath, B Kingsbury, A Mohamed, GE Dahl, G Saon, H Soltau, ...
2013 IEEE workshop on automatic speech recognition and understanding, 315-320, 2013
|Vocabulary independent spoken term detection|
J Mamou, B Ramabhadran, O Siohan
Proceedings of the 30th annual international ACM SIGIR conference on …, 2007
|Making deep belief networks effective for large vocabulary continuous speech recognition|
TN Sainath, B Kingsbury, B Ramabhadran, P Fousek, P Novak, ...
2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 30-35, 2011
|Auto-encoder bottleneck features using deep belief networks|
TN Sainath, B Kingsbury, B Ramabhadran
2012 IEEE international conference on acoustics, speech and signal …, 2012
|Method and apparatus for a communication device for use by a hearing impaired/mute or deaf person or in silent environments|
PT Brunet, AP Ittycheriah, C Narayanaswami, MA Picheny, ...
US Patent 5,995,590, 1999
|Learning filter banks within a deep neural network framework|
TN Sainath, B Kingsbury, A Mohamed, B Ramabhadran
2013 IEEE workshop on automatic speech recognition and understanding, 297-302, 2013
|Deep belief nets for natural language call-routing|
R Sarikaya, GE Hinton, B Ramabhadran
2011 IEEE International conference on acoustics, speech and signal …, 2011
|Enhanced likelihood computation using regression in a speech recognition system|
PV De Souza, Y Gao, M Picheny, B Ramabhadran
US Patent 6,493,667, 2002
|Efficient Knowledge Distillation from an Ensemble of Teachers.|
T Fukuda, M Suzuki, G Kurata, S Thomas, J Cui, B Ramabhadran
Interspeech, 3697-3701, 2017
|Automatic recognition of spontaneous speech for access to multilingual oral history archives|
W Byrne, D Doermann, M Franz, S Gustman, J Hajic, D Oard, M Picheny, ...
IEEE Transactions on Speech and Audio Processing 12 (4), 420-435, 2004
|Direct acoustics-to-word models for english conversational speech recognition|
K Audhkhasi, B Ramabhadran, G Saon, M Picheny, D Nahamoo
arXiv preprint arXiv:1703.07754, 2017
|Methods and apparatus for conversational name dialing systems|
Y Gao, B Ramabhadran, CJ Chen, H Erdogan, MA Picheny
US Patent 6,925,154, 2005
|Kernel methods match deep neural networks on timit|
PS Huang, H Avron, TN Sainath, V Sindhwani, B Ramabhadran
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
|Method and system for accent correction|
SH Basson, D Kanevsky, EE Kelley, B Ramabhadran
US Patent 8,175,882, 2012