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AdaST: Dynamically Adapting Encoder States in the Decoder for End-to-End Speech-to-Text Translation

Wuwei Huang, Dexin Wang, Deyi Xiong. AdaST: Dynamically Adapting Encoder States in the Decoder for End-to-End Speech-to-Text Translation. In Chengqing Zong, Fei Xia, Wenjie Li 0002, Roberto Navigli, editors, Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, Online Event, August 1-6, 2021. pages 2539-2545, Association for Computational Linguistics, 2021. [doi]

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