AdaST: Dynamically Adapting Encoder States in the Decoder for
Excerpt from PDF: AdaST: Dynamically Adapting Encoder States in the Decoder for End-to-End Speech-to-Text Translation Wuwei Huang, Dexin Wang, Deyi Xiong ∗ College of Intelligence and Computing, Tianjin University, Tianjin, China {wwhuang, 2019218007, dyxiong}@tju.edu.cn Abstract In end-to-end speech translation, acoustic rep- resentations learned by the encoder are usually fixed and static, from…














