ARoBERT: An ASR Robust Pre-Trained Language Model for Spoken Language Understanding
Author:
Affiliation:
1. Zhejiang Lab, Hangzhou, Zhejiang, China
2. Alibaba Group, Hangzhou, Zhejiang, China
Funder
Open Research Projects of Zhejiang Lab
Natural Science Foundation of Zhejiang Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Acoustics and Ultrasonics,Computer Science (miscellaneous),Computational Mathematics
Link
http://xplorestaging.ieee.org/ielx7/6570655/9657755/09721159.pdf?arnumber=9721159
Reference51 articles.
1. CATSLU: The 1st Chinese Audio-Textual Spoken Language Understanding Challenge
2. Confusion2vec: Towards enriching vector space word representations with representational ambiguities;shivakumar;PeerJ Computer Science,2019
3. Investigating Adaptation and Transfer Learning for End-to-End Spoken Language Understanding from Speech
4. Towards End-to-end Spoken Language Understanding
5. Multi-Classification Model for Spoken Language Understanding
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