Joel Shor
Cited by
Cited by
Full resolution image compression with recurrent neural networks
G Toderici, D Vincent, N Johnston, S Jin Hwang, D Minnen, J Shor, ...
Proceedings of the IEEE conference on Computer Vision and Pattern …, 2017
Style tokens: Unsupervised style modeling, control and transfer in end-to-end speech synthesis
Y Wang, D Stanton, Y Zhang, RJS Ryan, E Battenberg, J Shor, Y Xiao, ...
International Conference on Machine Learning, 5180-5189, 2018
Towards end-to-end prosody transfer for expressive speech synthesis with tacotron
RJ Skerry-Ryan, E Battenberg, Y Xiao, Y Wang, D Stanton, J Shor, ...
international conference on machine learning, 4693-4702, 2018
Improved lossy image compression with priming and spatially adaptive bit rates for recurrent networks
N Johnston, D Vincent, D Minnen, M Covell, S Singh, T Chinen, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
Towards learning a universal non-semantic representation of speech
J Shor, A Jansen, R Maor, O Lang, O Tuval, FC Quitry, M Tagliasacchi, ...
Proceedings of INTERSPEECH 2020 10.21437/Interspeech.2020-1242, 2020
Personalizing ASR for dysarthric and accented speech with limited data
J Shor, D Emanuel, O Lang, O Tuval, M Brenner, J Cattiau, F Vieira, ...
Proceedings of INTERSPEECH 2019 10.21437/Interspeech.2019-1427, 2019
Uncovering latent style factors for expressive speech synthesis
Y Wang, RJ Skerry-Ryan, Y Xiao, D Stanton, J Shor, E Battenberg, ...
arXiv preprint arXiv:1711.00520, 2017
Spatially adaptive image compression using a tiled deep network
D Minnen, G Toderici, M Covell, T Chinen, N Johnston, J Shor, SJ Hwang, ...
2017 IEEE International Conference on Image Processing (ICIP), 2796-2800, 2017
Bigssl: Exploring the frontier of large-scale semi-supervised learning for automatic speech recognition
Y Zhang, DS Park, W Han, J Qin, A Gulati, J Shor, A Jansen, Y Xu, ...
IEEE Journal of Selected Topics in Signal Processing 16 (6), 1519-1532, 2022
Target-quality image compression with recurrent, convolutional neural networks
M Covell, N Johnston, D Minnen, SJ Hwang, J Shor, S Singh, D Vincent, ...
arXiv preprint arXiv:1705.06687, 2017
Universal paralinguistic speech representations using self-supervised conformers
J Shor, A Jansen, W Han, D Park, Y Zhang
ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022
A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan
S Arik, J Shor, R Sinha, J Yoon, J Ledsam, L Le, M Dusenberry, N Yoder, ...
FRILL: A Non-Semantic Speech Embedding for Mobile Devices
J Peplinski, J Shor, S Joglekar, J Garrison, S Patel
arXiv preprint arXiv:2011.04609, 2020
Comparing Supervised Models and Learned Speech Representations for Classifying Intelligibility of Disordered Speech on Selected Phrases
S Venugopalan, J Shor, M Plakal, J Tobin, K Tomanek, JR Green, ...
arXiv preprint arXiv:2107.03985, 2021
Computing Systems with Modularized Infrastructure for Training Generative Adversarial Networks
J Shor, SG Cotado
US Patent App. 16/159,093, 2019
TRILLsson: Distilled Universal Paralinguistic Speech Representations
J Shor, S Venugopalan
arXiv preprint arXiv:2203.00236, 2022
Image compression with recurrent neural networks
GD Toderici, S O'malley, R Sukthankar, SJ Hwang, D Vincent, N Johnston, ...
US Patent 10,192,327, 2019
Efficient algorithms for implementation of hysteresis models
L Downen, T Glover, L Hallock, S King, J Shor, J Wallace, RC Smith
Behavior and Mechanics of Multifunctional Materials and Composites 2009 7289 …, 2009
Self-Supervised Speech Representations for Fake Audio Detection
J Shor, JF Slocum
US Patent App. 17/110,278, 2022
Method for Detecting and Classifying Coughs or Other Non-Semantic Sounds Using Audio Feature Set Learned from Speech
J Garrison, JS Peplinski, J Shor
US Patent App. 17/507,461, 2022
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