Tom Bagby
Tom Bagby
Verified email at google.com
Title
Cited by
Cited by
Year
Streaming end-to-end speech recognition for mobile devices
Y He, TN Sainath, R Prabhavalkar, I McGraw, R Alvarez, D Zhao, ...
ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019
3032019
Location-relative attention mechanisms for robust long-form speech synthesis
E Battenberg, RJ Skerry-Ryan, S Mariooryad, D Stanton, D Kao, ...
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
542020
Effective use of variational embedding capacity in expressive end-to-end speech synthesis
E Battenberg, S Mariooryad, D Stanton, RJ Skerry-Ryan, M Shannon, ...
arXiv preprint arXiv:1906.03402, 2019
222019
End-to-end training of acoustic models for large vocabulary continuous speech recognition with tensorflow
E Variani, T Bagby, E McDermott, M Bacchiani
182017
Semi-supervised generative modeling for controllable speech synthesis
R Habib, S Mariooryad, M Shannon, E Battenberg, RJ Skerry-Ryan, ...
arXiv preprint arXiv:1910.01709, 2019
172019
Efficient implementation of recurrent neural network transducer in tensorflow
T Bagby, K Rao, KC Sim
2018 IEEE Spoken Language Technology Workshop (SLT), 506-512, 2018
152018
Improving the efficiency of forward-backward algorithm using batched computation in tensorflow
KC Sim, A Narayanan, T Bagby, TN Sainath, M Bacchiani
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017
92017
Complex evolution recurrent neural networks (cernns)
I Shafran, T Bagby, RJ Skerry-Ryan
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
62018
Sampled connectionist temporal classification
E Variani, T Bagby, K Lahouel, E McDermott, M Bacchiani
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
52018
Non-saturating GAN training as divergence minimization
M Shannon, B Poole, S Mariooryad, T Bagby, E Battenberg, D Kao, ...
arXiv preprint arXiv:2010.08029, 2020
2020
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Articles 1–10