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Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.

D. Amodei, R. Anubhai, E. Battenberg, C. Case, J. Casper, B. Catanzaro, J. Chen, M. Chrzanowski, A. Coates, G. Diamos, E. Elsen, J. Engel, L. Fan, C. Fougner, T. Han, A. Hannun, B. Jun, P. LeGresley, L. Lin, S. Narang, A. Ng, S. Ozair, R. Prenger, J. Raiman, S. Satheesh, D. Seetapun, S. Sengupta, Y. Wang, Z. Wang, C. Wang, B. Xiao, D. Yogatama, J. Zhan, and Z. Zhu. CoRR, (2015)

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Lavanya Sharan

Priyanka Narang

Shambhu Sharan Sahay

Ram Avtar Narang

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Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.D. Amodei, R. Anubhai, E. Battenberg, C. Case, J. Casper, B. Catanzaro, J. Chen, M. Chrzanowski, A. Coates, G. Diamos and 24 other author(s). CoRR, (2015)Scale Efficiently: Insights from Pretraining and Finetuning Transformers.Y. Tay, M. Dehghani, J. Rao, W. Fedus, S. Abnar, H. Chung, S. Narang, D. Yogatama, A. Vaswani, and D. Metzler. ICLR, OpenReview.net, (2022)Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin.D. Amodei, S. Ananthanarayanan, R. Anubhai, J. Bai, E. Battenberg, C. Case, J. Casper, B. Catanzaro, J. Chen, M. Chrzanowski and 29 other author(s). ICML, volume 48 of JMLR Workshop and Conference Proceedings, page 173-182. JMLR.org, (2016)Exploring the Limits of Transfer Learning with a Unified Text-to-Text TransformerC. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, and P. Liu. (October 2019)cite arxiv:1910.10683.Character-Aware Models Improve Visual Text Rendering.R. Liu, D. Garrette, C. Saharia, W. Chan, A. Roberts, S. Narang, I. Blok, R. Mical, M. Norouzi, and N. Constant. ACL (1), page 16270-16297. Association for Computational Linguistics, (2023)UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining.H. Chung, X. Garcia, A. Roberts, Y. Tay, O. Firat, S. Narang, and N. Constant. ICLR, OpenReview.net, (2023)Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?Y. Tay, M. Dehghani, S. Abnar, H. Chung, W. Fedus, J. Rao, S. Narang, V. Tran, D. Yogatama, and D. Metzler. EMNLP (Findings), page 12342-12364. Association for Computational Linguistics, (2023)Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.C. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, and P. Liu. J. Mach. Learn. Res., (2020)Do Transformer Modifications Transfer Across Implementations and Applications?S. Narang, H. Chung, Y. Tay, L. Fedus, T. Févry, M. Matena, K. Malkan, N. Fiedel, N. Shazeer, Z. Lan and 6 other author(s). EMNLP (1), page 5758-5773. Association for Computational Linguistics, (2021)Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning.W. Ping, K. Peng, A. Gibiansky, S. Arik, A. Kannan, S. Narang, J. Raiman, and J. Miller. ICLR (Poster), OpenReview.net, (2018)

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Disambiguation of "Narang, Sharan"

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Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.

Please choose a person to relate this publication to

Lavanya Sharan

Priyanka Narang

Shambhu Sharan Sahay

Ram Avtar Narang

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Narang, Sharan"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.

Please choose a person to relate this publication to

Lavanya Sharan

Priyanka Narang

Shambhu Sharan Sahay

Ram Avtar Narang

Other publications of authors with the same name

Disambiguation

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Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.