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Tom Bagby
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2020 – today
- 2023
- [c10]Ke Wu, Ehsan Variani, Tom Bagby, Michael Riley:
Last: Scalable Lattice-Based Speech Modelling in Jax. ICASSP 2023: 1-5 - [i9]Ke Wu, Ehsan Variani, Tom Bagby, Michael Riley:
LAST: Scalable Lattice-Based Speech Modelling in JAX. CoRR abs/2304.13134 (2023) - 2022
- [c9]Daisy Stanton, Matt Shannon, Soroosh Mariooryad, R. J. Skerry-Ryan, Eric Battenberg, Tom Bagby, David Kao:
Speaker Generation. ICASSP 2022: 7897-7901 - [i8]Soroosh Mariooryad, Matt Shannon, Siyuan Ma, Tom Bagby, David Kao, Daisy Stanton, Eric Battenberg, R. J. Skerry-Ryan:
Learning the joint distribution of two sequences using little or no paired data. CoRR abs/2212.03232 (2022) - 2021
- [i7]Daisy Stanton, Matt Shannon, Soroosh Mariooryad, R. J. Skerry-Ryan, Eric Battenberg, Tom Bagby, David Kao:
Speaker Generation. CoRR abs/2111.05095 (2021) - 2020
- [c8]Eric Battenberg, R. J. Skerry-Ryan, Soroosh Mariooryad, Daisy Stanton, David Kao, Matt Shannon, Tom Bagby:
Location-Relative Attention Mechanisms for Robust Long-Form Speech Synthesis. ICASSP 2020: 6194-6198 - [c7]Raza Habib, Soroosh Mariooryad, Matt Shannon, Eric Battenberg, R. J. Skerry-Ryan, Daisy Stanton, David Kao, Tom Bagby:
Semi-Supervised Generative Modeling for Controllable Speech Synthesis. ICLR 2020 - [i6]Matt Shannon, Ben Poole, Soroosh Mariooryad, Tom Bagby, Eric Battenberg, David Kao, Daisy Stanton, R. J. Skerry-Ryan:
Non-saturating GAN training as divergence minimization. CoRR abs/2010.08029 (2020)
2010 – 2019
- 2019
- [c6]Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Ian McGraw, Raziel Alvarez, Ding Zhao, David Rybach, Anjuli Kannan, Yonghui Wu, Ruoming Pang, Qiao Liang, Deepti Bhatia, Yuan Shangguan, Bo Li, Golan Pundak, Khe Chai Sim, Tom Bagby, Shuo-Yiin Chang, Kanishka Rao, Alexander Gruenstein:
Streaming End-to-end Speech Recognition for Mobile Devices. ICASSP 2019: 6381-6385 - [i5]Izhak Shafran, Tom Bagby, R. J. Skerry-Ryan:
Complex Evolution Recurrent Neural Networks (ceRNNs). CoRR abs/1906.02246 (2019) - [i4]Eric Battenberg, Soroosh Mariooryad, Daisy Stanton, R. J. Skerry-Ryan, Matt Shannon, David Kao, Tom Bagby:
Effective Use of Variational Embedding Capacity in Expressive End-to-End Speech Synthesis. CoRR abs/1906.03402 (2019) - [i3]Raza Habib, Soroosh Mariooryad, Matt Shannon, Eric Battenberg, R. J. Skerry-Ryan, Daisy Stanton, David Kao, Tom Bagby:
Semi-Supervised Generative Modeling for Controllable Speech Synthesis. CoRR abs/1910.01709 (2019) - [i2]Eric Battenberg, R. J. Skerry-Ryan, Soroosh Mariooryad, Daisy Stanton, David Kao, Matt Shannon, Tom Bagby:
Location-Relative Attention Mechanisms For Robust Long-Form Speech Synthesis. CoRR abs/1910.10288 (2019) - 2018
- [c5]Ehsan Variani, Tom Bagby, Kamel Lahouel, Erik McDermott, Michiel Bacchiani:
Sampled Connectionist Temporal Classification. ICASSP 2018: 4959-4963 - [c4]Izhak Shafran, Tom Bagby, R. J. Skerry-Ryan:
Complex Evolution Recurrent Neural Networks (ceRNNs). ICASSP 2018: 5854-5858 - [c3]Tom Bagby, Kanishka Rao, Khe Chai Sim:
Efficient Implementation of Recurrent Neural Network Transducer in Tensorflow. SLT 2018: 506-512 - [i1]Yanzhang He, Tara N. Sainath, Rohit Prabhavalkar, Ian McGraw, Raziel Alvarez, Ding Zhao, David Rybach, Anjuli Kannan, Yonghui Wu, Ruoming Pang, Qiao Liang, Deepti Bhatia, Yuan Shangguan, Bo Li, Golan Pundak, Khe Chai Sim, Tom Bagby, Shuo-Yiin Chang, Kanishka Rao, Alexander Gruenstein:
Streaming End-to-end Speech Recognition For Mobile Devices. CoRR abs/1811.06621 (2018) - 2017
- [c2]Khe Chai Sim, Arun Narayanan, Tom Bagby, Tara N. Sainath, Michiel Bacchiani:
Improving the efficiency of forward-backward algorithm using batched computation in TensorFlow. ASRU 2017: 258-264 - [c1]Ehsan Variani, Tom Bagby, Erik McDermott, Michiel Bacchiani:
End-to-End Training of Acoustic Models for Large Vocabulary Continuous Speech Recognition with TensorFlow. INTERSPEECH 2017: 1641-1645
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