FAT-HuBERT: Front-End Adaptive Training of Hidden-Unit BERT For Distortion-Invariant Robust Speech Recognition-Reference-Cited by-同舟云学术

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FAT-HuBERT: Front-End Adaptive Training of Hidden-Unit BERT For Distortion-Invariant Robust Speech Recognition

Published:2023-12-16 Issue: Volume:33 Page:1-8
ISSN:
Container-title:2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
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Author:

Yang Dongning¹,Wang Wei¹,Qian Yanmin¹

Affiliation:

1. Shanghai Jiao Tong University,MoE Key Lab of Artificial Intelligence,AI Institute Department of Computer Science and Engineering,Shanghai,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10388490/10389614/10389685.pdf?arnumber=10389685

Reference41 articles.

1. Robust speech recognition via large-scale weak supervision;Radford

2. Deep Learning for Environmentally Robust Speech Recognition

3. Interactive Feature Fusion for End-to-End Noise-Robust Speech Recognition

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

5. Representation learning with contrastive predictive coding;den Oord;arXiv preprint arXiv:1807.03748,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Drift-DiffuSE: Diffusion Model with Learnable Drift Term for Speech Enhancement;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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