![]() Given its considerable complexity, the task has so far been addressed through a pipeline of components that separately deal with transcribing, translating, and segmenting text into subtitles, as well as predicting timestamps. ![]() The generated subtitles need to conform to space and time requirements, while being synchronized with the speech and segmented in a way that facilitates comprehension. Transactions of the Association for Computational LinguisticsĪutomatic subtitling is the task of automatically translating the speech of audiovisual content into short pieces of timed text, i.e., subtitles and their corresponding timestamps. Our experiments on 7 language pairs show that our approach outperforms a cascade system in the same data condition, also being competitive with production tools on both in-domain and newly released out-domain benchmarks covering new scenarios.",ĭirect Speech Translation for Automatic Subtitling In this paper, we propose the first direct speech translation model for automatic subtitling that generates subtitles in the target language along with their timestamps with a single model. Journal = "Transactions of the Association for Computational Linguistics",Ībstract = "Automatic subtitling is the task of automatically translating the speech of audiovisual content into short pieces of timed text, i.e., subtitles and their corresponding timestamps. ![]() Cite (Informal): Direct Speech Translation for Automatic Subtitling (Papi et al., TACL 2023) Copy Citation: BibTeX Markdown MODS XML Endnote More options… PDF: = "Direct Speech Translation for Automatic Subtitling", Transactions of the Association for Computational Linguistics, 11:1355–1376. Direct Speech Translation for Automatic Subtitling. Anthology ID: 2023.tacl-1.77 Volume: Transactions of the Association for Computational Linguistics, Volume 11 Month: Year: 2023 Address: Cambridge, MA Venue: TACL SIG: Publisher: MIT Press Note: Pages: 1355–1376 Language: URL: DOI: 10.1162/tacl_a_00607 Bibkey: papi-etal-2023-direct-speech Cite (ACL): Sara Papi, Marco Gaido, Alina Karakanta, Mauro Cettolo, Matteo Negri, and Marco Turchi. Our experiments on 7 language pairs show that our approach outperforms a cascade system in the same data condition, also being competitive with production tools on both in-domain and newly released out-domain benchmarks covering new scenarios. Abstract Automatic subtitling is the task of automatically translating the speech of audiovisual content into short pieces of timed text, i.e., subtitles and their corresponding timestamps.
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