Robust Data2VEC: Noise-Robust Speech Representation Learning for ASR by Combining Regression and Improved Contrastive Learning-Reference-Cited by-同舟云学术

Robust Data2VEC: Noise-Robust Speech Representation Learning for ASR by Combining Regression and Improved Contrastive Learning

Published:2023-06-04 Issue: Volume: Page:
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Container-title:ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
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Author:

Zhu Qiu-Shi¹,Zhou Long²,Zhang Jie¹,Liu Shu-Jie²,Hu Yu-Chen³,Dai Li-Rong¹

Affiliation:

1. University of Science and Technology of China (USTC),NERC-SLIP,Hefei,China

2. Microsoft Research Asia

3. Nanyang Technological University,Singapore

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095373.pdf?arnumber=10095373

Reference34 articles.

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2. SUPERB: Speech Processing Universal PERformance Benchmark

3. Joint training of speech enhancement and self-supervised model for noise-robust asr;zhu;arXiv preprint arXiv 2205 13293,2022

4. Multi-Task Self-Supervised Learning for Robust Speech Recognition

5. Cross-Lingual Self-training to Learn Multilingual Representation for Low-Resource Speech Recognition

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