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

Y. Zhang, D. Park, W. Han, J. Qin, A. Gulati, J. Shor, A. Jansen, Y. Xu, Y. Huang, S. Wang, Z. Zhou, B. Li, M. Ma, W. Chan, J. Yu, Y. Wang, L. Cao, K. Sim, B. Ramabhadran, T. Sainath, F. Beaufays, Z. Chen, Q. Le, C. Chiu, R. Pang, and Y. Wu. IEEE J. Sel. Top. Signal Process., 16 (6): 1519-1532 (2022)

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Daniel S Baum

Daniel S Mayfield

Daniel S Scholz

Daniel S Kraus

Daniel S. Weld

Other publications of authors with the same name

Efficient Knowledge Distillation for RNN-Transducer Models.S. Panchapagesan, D. Park, C. Chiu, Y. Shangguan, Q. Liang, and A. Gruenstein. CoRR, (2020)The Effect of Network Width on Stochastic Gradient Descent and Generalization: an Empirical Study.D. Park, J. Sohl-Dickstein, Q. Le, and S. Smith. ICML, volume 97 of Proceedings of Machine Learning Research, page 5042-5051. PMLR, (2019)SpeechStew: Simply Mix All Available Speech Recognition Data to Train One Large Neural Network.W. Chan, D. Park, C. Lee, Y. Zhang, Q. Le, and M. Norouzi. CoRR, (2021)Noise2Music: Text-conditioned Music Generation with Diffusion Models.Q. Huang, D. Park, T. Wang, T. Denk, A. Ly, N. Chen, Z. Zhang, Z. Zhang, J. Yu, C. Frank and 4 other author(s). CoRR, (2023)Universal Paralinguistic Speech Representations Using self-Supervised Conformers.J. Shor, A. Jansen, W. Han, D. Park, and Y. Zhang. ICASSP, page 3169-3173. IEEE, (2022)G-Augment: Searching for the Meta-Structure of Data Augmentation Policies for ASR.G. Wang, E. Cubuk, A. Rosenberg, S. Cheng, R. Weiss, B. Ramabhadran, P. Moreno, Q. Le, and D. Park. SLT, page 23-30. IEEE, (2022)SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition.D. Park, W. Chan, Y. Zhang, C. Chiu, B. Zoph, E. Cubuk, and Q. Le. INTERSPEECH, page 2613-2617. ISCA, (2019)Improved Noisy Student Training for Automatic Speech Recognition.D. Park, Y. Zhang, Y. Jia, W. Han, C. Chiu, B. Li, Y. Wu, and Q. Le. INTERSPEECH, page 2817-2821. ISCA, (2020)SpecAugment on Large Scale Datasets.D. Park, Y. Zhang, C. Chiu, Y. Chen, B. Li, W. Chan, Q. Le, and Y. Wu. CoRR, (2019)Open Science principles for accelerating trait-based science across the Tree of LifeR. Gallagher, D. Falster, B. Maitner, R. Salguero-Gómez, V. Vandvik, W. Pearse, F. Schneider, J. Kattge, J. Poelen, J. Madin and 47 other author(s). Nature Ecology & Evolution, 4 (3): 294–303 (February 2020)

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Disambiguation of "Park, Daniel S."

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

Please choose a person to relate this publication to

Daniel S Baum

Daniel S Mayfield

Daniel S Scholz

Daniel S Kraus

Daniel S. Weld

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Park, Daniel S."

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML BigSSL: Exploring the Frontier of Large-Scale Semi-Supervised Learning for Automatic Speech Recognition.

Please choose a person to relate this publication to

Daniel S Baum

Daniel S Mayfield

Daniel S Scholz

Daniel S Kraus

Daniel S. Weld

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
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MSOffice XML

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