Jeong-Uk Bang

Improving End-To-End Speech Translation Model with Bert-Based Contextual Information

This paper proposes an end-to-end speech translation system that utilizes contextual information. Contextual information helps clarify the meaning of the utterances. However, conventional end-to-end speech translation (E2E-ST) is primarily designed to handle single-utterance. Thus, we introduce a co…