Improving Stability in Simultaneous Speech Translation: A
  Revision-Controllable Decoding Approach
Junkun Chen Jian Xue Peidong Wang Jing Pan Jinyu Li
Simultaneous Speech-to-Text translation serves a critical role in real-time
crosslingual communication. Despite the advancements in recent years,
challenges remain in achieving stability in the translation process, a concern
primarily manifested in the flickering of partial results. In this paper, we
propose a novel revision-controllable method designed to address this issue.
Our method introduces an allowed revision window within the beam search pruning
process to screen out candidate translations likely to cause extensive
revisions, leading to a substantial reduction in flickering and, crucially,
providing the capability to completely eliminate flickering. The experiments
demonstrate the proposed method can significantly improve the decoding
stability without compromising substantially on the translation quality.