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Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition

Y. Zhang, J. Qin, D. Park, W. Han, C. Chiu, R. Pang, Q. Le, and Y. Wu. (2020)cite arxiv:2010.10504Comment: 11 pages, 3 figures, 5 tables. Submitted to NeurIPS SAS 2020 Workshop.

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Ruoming Wu

Vincent Pang

Cuiping Pang

Jian Pang

Xiaoying Pang

Other publications of authors with the same name

Scaling End-to-End Models for Large-Scale Multilingual ASR.B. Li, R. Pang, T. Sainath, A. Gulati, Y. Zhang, J. Qin, P. Haghani, W. Huang, M. Ma, and J. Bai. ASRU, page 1011-1018. IEEE, (2021)Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data.T. Doutre, W. Han, M. Ma, Z. Lu, C. Chiu, R. Pang, A. Narayanan, A. Misra, Y. Zhang, and L. Cao. ICASSP, page 6558-6562. IEEE, (2021)Hierarchical Generative Modeling for Controllable Speech Synthesis.W. Hsu, Y. Zhang, R. Weiss, H. Zen, Y. Wu, Y. Wang, Y. Cao, Y. Jia, Z. Chen, J. Shen and 2 other author(s). CoRR, (2018)MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training.B. McKinzie, Z. Gan, J. Fauconnier, S. Dodge, B. Zhang, P. Dufter, D. Shah, X. Du, F. Peng, F. Weers and 22 other author(s). CoRR, (2024)Bridging the Gap Between Streaming and Non-Streaming ASR Systems by Distilling Ensembles of CTC and RNN-T Models.T. Doutre, W. Han, C. Chiu, R. Pang, O. Siohan, and L. Cao. Interspeech, page 1807-1811. ISCA, (2021)Revisiting MoE and Dense Speed-Accuracy Comparisons for LLM Training.X. Du, T. Gunter, X. Kong, M. Lee, Z. Wang, A. Zhang, N. Du, and R. Pang. CoRR, (2024)A Better and Faster End-to-End Model for Streaming ASR.B. Li, A. Gulati, J. Yu, T. Sainath, C. Chiu, A. Narayanan, S. Chang, R. Pang, Y. He, J. Qin and 5 other author(s). CoRR, (2020)Pushing the Limits of Semi-Supervised Learning for Automatic Speech RecognitionY. Zhang, J. Qin, D. Park, W. Han, C. Chiu, R. Pang, Q. Le, and Y. Wu. (2020)cite arxiv:2010.10504Comment: 11 pages, 3 figures, 5 tables. Submitted to NeurIPS SAS 2020 Workshop.Transformer Based Deliberation for Two-Pass Speech Recognition.K. Hu, R. Pang, T. Sainath, and T. Strohman. SLT, page 68-74. IEEE, (2021)Defensive Programming: Using an Annotation Toolkit to Build DoS-Resistant Software.X. Qie, R. Pang, and L. Peterson. OSDI, USENIX Association, (2002)Operating Systems Review 36, Special Issue, Winter 2002.

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Disambiguation of "Pang, Ruoming"

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Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition

Please choose a person to relate this publication to

Ruoming Wu

Vincent Pang

Cuiping Pang

Jian Pang

Xiaoying Pang

Other publications of authors with the same name

Disambiguierung

BibSonomy

Disambiguation of "Pang, Ruoming"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition

Please choose a person to relate this publication to

Ruoming Wu

Vincent Pang

Cuiping Pang

Jian Pang

Xiaoying Pang

Other publications of authors with the same name

Disambiguierung

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

Pushing the Limits of Semi-Supervised Learning for Automatic Speech Recognition