Improving Noisy Student Training on Non-Target Domain Data for Automatic Speech Recognition
Author:
Affiliation:
1. The University of Hong Kong,Hong Kong,China
2. NVIDIA,Shanghai,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10094559/10094560/10095704.pdf?arnumber=10095704
Reference28 articles.
1. Improving Streaming Automatic Speech Recognition with Non-Streaming Model Distillation on Unsupervised Data
2. Improved Noisy Student Training for Automatic Speech Recognition
3. wav2vec 2.0: A framework for self-supervised learning of speech representations;baevski;Advances in neural information processing systems,2020
4. FedNST: Federated Noisy Student Training for Automatic Speech Recognition
5. Learning extraction patterns for subjective expressions
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