Joel Shor

According to our database, Joel Shor authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Predicting Generalization of AI Colonoscopy Models to Unseen Data.

Joel Shor, Carson McNeil, Yotam Intrator, Joseph R. Ledsam, Hiro-o Yamano, Daisuke Tsurumaru, Hiroki Kayama, Atsushi Hamabe, Koji Ando, Mitsuhiko Ota, Haruei Ogino, Hiroshi Nakase, Kaho Kobayashi, Masaaki Miyo, Eiji Oki, Ichiro Takemasa, Ehud Rivlin, Roman Goldenberg

CoRR, 2024

2023

The unreasonable effectiveness of AI CADe polyp detectors to generalize to new countries.

Joel Shor, Hiro-o Yamano, Daisuke Tsurumaru, Yotam Intrator, Hiroki Kayama, Joseph R. Ledsam, Atsushi Hamabe, Koji Ando, Mitsuhiko Ota, Haruei Ogino, Hiroshi Nakase, Kaho Kobayashi, Eiji Oki, Roman Goldenberg, Ehud Rivlin, Ichiro Takemasa

CoRR, 2023

Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings.

Joel Shor, Ruyue Agnes Bi, Subhashini Venugopalan, Steven Ibara, Roman Goldenberg, Ehud Rivlin

Proceedings of the 5th Clinical Natural Language Processing Workshop, 2023

2022

BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition.

Yu Zhang, Daniel S. Park, Wei Han, James Qin, Anmol Gulati, Joel Shor, Aren Jansen, Yuanzhong Xu, Yanping Huang, Shibo Wang, Zongwei Zhou, Bo Li, Min Ma, William Chan, Jiahui Yu, Yongqiang Wang, Liangliang Cao, Khe Chai Sim, Bhuvana Ramabhadran, Tara N. Sainath, Françoise Beaufays, Zhifeng Chen, Quoc V. Le, Chung-Cheng Chiu, Ruoming Pang, Yonghui Wu

IEEE J. Sel. Top. Signal Process., 2022

Knowledge distillation for fast and accurate DNA sequence correction.

Anastasiya Belyaeva, Joel Shor, Daniel E. Cook, Kishwar Shafin, Daniel Liu, Armin Töpfer, Aaron M. Wenger, William J. Rowell, Howard Yang, Alexey Kolesnikov, Cory Y. McLean, Maria Nattestad, Andrew Carroll, Pi-Chuan Chang

CoRR, 2022

The Need for Medically Aware Video Compression in Gastroenterology.

Joel Shor, Nick Johnston

CoRR, 2022

TRILLsson: Distilled Universal Paralinguistic Speech Representations.

Joel Shor, Subhashini Venugopalan

Proceedings of the Interspeech 2022, 2022

Universal Paralinguistic Speech Representations Using self-Supervised Conformers.

Joel Shor, Aren Jansen, Wei Han, Daniel S. Park, Yu Zhang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

A prospective evaluation of AI-augmented epidemiology to forecast COVID-19 in the USA and Japan.

Sercan Ö. Arik, Joel Shor, Rajarishi Sinha, Jinsung Yoon, Joseph R. Ledsam, Long T. Le, Michael W. Dusenberry, Nathanael C. Yoder, Kris Popendorf, Arkady Epshteyn, Johan Euphrosine, Elli Kanal, Isaac Jones, Chun-Liang Li, Beth Luan, Joe Mckenna, Vikas Menon, Shashank Singh, Mimi Sun, Ashwin Sura Ravi, Leyou Zhang, Dario Sava, Kane Cunningham, Hiroki Kayama, Thomas C. Tsai, Daisuke Yoneoka, Shuhei Nomura, Hiroaki Miyata, Tomas Pfister

npj Digit. Medicine, 2021

Universal Paralinguistic Speech Representations Using Self-Supervised Conformers.

Joel Shor, Aren Jansen, Wei Han, Daniel S. Park, Yu Zhang

CoRR, 2021

Comparing Supervised Models and Learned Speech Representations for Classifying Intelligibility of Disordered Speech on Selected Phrases.

Subhashini Venugopalan, Joel Shor, Manoj Plakal, Jimmy Tobin, Katrin Tomanek, Jordan R. Green, Michael P. Brenner

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

FRILL: A Non-Semantic Speech Embedding for Mobile Devices.

Jacob Peplinski, Joel Shor, Sachin Joglekar, Jake Garrison, Shwetak N. Patel

Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021

2020

FUN! Fast, Universal, Non-Semantic Speech Embeddings.

Jacob Peplinski, Joel Shor, Sachin Joglekar, Jake Garrison, Shwetak N. Patel

CoRR, 2020

Towards Learning a Universal Non-Semantic Representation of Speech.

Joel Shor, Aren Jansen, Ronnie Maor, Oran Lang, Omry Tuval, Félix de Chaumont Quitry, Marco Tagliasacchi, Ira Shavitt, Dotan Emanuel, Yinnon Haviv

Proceedings of the Interspeech 2020, 2020

2019

Personalizing ASR for Dysarthric and Accented Speech with Limited Data.

Joel Shor, Dotan Emanuel, Oran Lang, Omry Tuval, Michael P. Brenner, Julie Cattiau, Fernando Vieira, Maeve McNally, Taylor Charbonneau, Melissa Nollstadt, Avinatan Hassidim, Yossi Matias

Proceedings of the Interspeech 2019, 2019

2018

Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis.

Yuxuan Wang, Daisy Stanton, Yu Zhang, R. J. Skerry-Ryan, Eric Battenberg, Joel Shor, Ying Xiao, Ye Jia, Fei Ren, Rif A. Saurous

Proceedings of the 35th International Conference on Machine Learning, 2018

Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron.

R. J. Skerry-Ryan, Eric Battenberg, Ying Xiao, Yuxuan Wang, Daisy Stanton, Joel Shor, Ron J. Weiss, Rob Clark, Rif A. Saurous

Proceedings of the 35th International Conference on Machine Learning, 2018

Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks.

Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Uncovering Latent Style Factors for Expressive Speech Synthesis.

Yuxuan Wang, R. J. Skerry-Ryan, Ying Xiao, Daisy Stanton, Joel Shor, Eric Battenberg, Rob Clark, Rif A. Saurous

CoRR, 2017

Target-Quality Image Compression with Recurrent, Convolutional Neural Networks.

Michele Covell, Nick Johnston, David Minnen, Sung Jin Hwang, Joel Shor, Saurabh Singh, Damien Vincent, George Toderici

CoRR, 2017

Spatially adaptive image compression using a tiled deep network.

David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Full Resolution Image Compression with Recurrent Neural Networks.

George Toderici, Damien Vincent, Nick Johnston, Sung Jin Hwang, David Minnen, Joel Shor, Michele Covell

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017