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Automatic subtitling is the task of automatically translating the speech ofaudiovisual content into short pieces of timed text, i.e. subtitles and theircorresponding timestamps. The generated subtitles need to conform to space andtime requirements, while being synchronised with the speech and segmented in away that facilitates comprehension. Given its considerable complexity, the taskhas so far been addressed through a pipeline of components that separately dealwith transcribing, translating, and segmenting text into subtitles, as well aspredicting timestamps. In this paper, we propose the first direct ST model forautomatic subtitling that generates subtitles in the target language along withtheir timestamps with a single model. Our experiments on 7 language pairs showthat our approach outperforms a cascade system in the same data condition, alsobeing competitive with production tools on both in-domain and newly-releasedout-domain benchmarks covering new scenarios.

Direct Speech Translation for Automatic Subtitling