As the amount of audio-visual content increases, the need to develop automatic captioning and subtitling solutions to match the expectations of a growing international audience appears as the only viable way to boost throughput and lower the related post-production costs. Automatic captioning and subtitling often need to be tightly intertwined to achieve an appropriate level of consistency and synchronization with each other and with the video signal. In this work, we assess a dual decoding scheme to achieve a strong coupling between these two tasks and show how adequacy and consistency are increased, with virtually no additional cost in terms of model size and training complexity.
@article{arxiv.2205.06522,
title = {Joint Generation of Captions and Subtitles with Dual Decoding},
author = {Jitao Xu and François Buet and Josep Crego and Elise Bertin-Lemée and François Yvon},
journal= {arXiv preprint arXiv:2205.06522},
year = {2022}
}