Direct Speech Translation for Automatic Subtitling
Transactions of the Association for Computational Linguistics, vol. 11, pp. 1355–1376
Abstract
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. 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. 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. 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. 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.
Authors 6
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Sara Papi corresponding
University of Trento · Fondazione Bruno Kessler
Affiliation as printed
Fondazione Bruno Kessler, Trento, Italy. spapi@fbk.eu
University of Trento, Trento, Italy
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Marco Gaido corresponding
University of Trento · Fondazione Bruno Kessler
Affiliation as printed
Fondazione Bruno Kessler, Trento, Italy. mgaido@fbk.eu
University of Trento, Trento, Italy
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Alina Karakanta Aachen
Affiliation as printed
Leiden University Centre for Linguistics, Leiden, The Netherlands
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Mauro Cettolo corresponding
Affiliation as printed
Fondazione Bruno Kessler, Trento, Italy. cettolo@fbk.eu
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Matteo Negri corresponding
Affiliation as printed
Fondazione Bruno Kessler, Trento, Italy. negri@fbk.eu
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Affiliation as printed
Zoom Video Communications, Karlsruhe, Germany
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