Segment, Embed, and Align: A Universal Recipe for Aligning Subtitles to Signing 事件

Segment, Embed, and Align: A Universal Recipe for Aligning Subtitles to Signing arXiv:2512.08094v2 Announce Type: replace Abstract: The goal of this work is to develop a universal approach for aligning subtitles (i.e., spoken language text with corresponding timestamps) to continuous sign language videos. Prior approaches typically rely on end-to-end training tied to a specific language or dataset, which limits their generality. In contrast, our method Segment, Embed, and Align (SEA) provides a