Prosodic Phrase Alignment for Machine Dubbing
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Abstract (arXiv)
Dubbing is a type of audiovisual translation where dialogues are translated and enacted so that they give the impression that the media is in the target language. It requires a careful alignment of dubbed recordings with the lip movements of performers in order to achieve visual coherence. In this paper, we deal with the specific problem of prosodic phrase synchronization within the framework of machine dubbing. Our methodology exploits the attention mechanism output in neural machine translation to find plausible phrasing for the translated dialogue lines and then uses them to condition their synthesis. Our initial work in this field records comparable speech rate ratio to professional dubbing translation, and improvement in terms of lip-syncing of long dialogue lines.
Key facts. Cited by 13 papers in the map (data through 7 Oct 2026). First posted on arXiv 20 Aug 2019.
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Citing papers per year: 2021: 3; 2022: 5; 2023: 3; 2024: 1; 2025: 0; 2026: 1.
13 papers.
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- 2022VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbingcited by 20
- 2021Machine Translation Verbosity Control for Automatic Dubbingcited by 18
- 2021Isometric MT: Neural Machine Translation for Automatic Dubbingcited by 18
- 2022Dubbing in Practice: A Large Scale Study of Human Localization With Insights for Automatic Dubbingcited by 17
- 2021Isochrony-Aware Neural Machine Translation for Automatic Dubbingcited by 14
- 2022Direct Speech Translation for Automatic Subtitlingcited by 7
- 2022Prosodic Alignment for off-screen automatic dubbingcited by 6
- 2023Direct Models for Simultaneous Translation and Automatic Subtitling: FBK@IWSLT2023cited by 6
- 2024ANIM-400K: A Large-Scale Dataset for Automated End-To-End Dubbing of Videocited by 6
- 2023Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbingcited by 5
- 2023Improving Isochronous Machine Translation with Target Factors and Auxiliary Counterscited by 3
- 2022Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languagescited by 2
- 2026PS-TTS: Phonetic Synchronization in Text-to-Speech for Achieving Natural Automated Dubbing10 Apr 2026
- 2024ANIM-400K: A Large-Scale Dataset for Automated End-To-End Dubbing of Video10 Jan 2024
- 2023Direct Models for Simultaneous Translation and Automatic Subtitling: FBK@IWSLT202327 Sep 2023
- 2023Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters22 May 2023
- 2023Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing25 Feb 2023
- 2022Dubbing in Practice: A Large Scale Study of Human Localization With Insights for Automatic Dubbing23 Dec 2022
- 2022VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing30 Nov 2022
- 2022Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages1 Nov 2022
- 2022Direct Speech Translation for Automatic Subtitling27 Sep 2022
- 2022Prosodic Alignment for off-screen automatic dubbing6 Apr 2022
- 2021Isometric MT: Neural Machine Translation for Automatic Dubbing16 Dec 2021
- 2021Isochrony-Aware Neural Machine Translation for Automatic Dubbing16 Dec 2021
1 more
- 2022VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbingcited by 20
- 2021Machine Translation Verbosity Control for Automatic Dubbingcited by 18
- 2021Isometric MT: Neural Machine Translation for Automatic Dubbingcited by 18
- 2022Dubbing in Practice: A Large Scale Study of Human Localization With Insights for Automatic Dubbingcited by 17
- 2021Isochrony-Aware Neural Machine Translation for Automatic Dubbingcited by 14
- 2022Direct Speech Translation for Automatic Subtitlingcited by 7
- 2022Prosodic Alignment for off-screen automatic dubbingcited by 6
- 2023Direct Models for Simultaneous Translation and Automatic Subtitling: FBK@IWSLT2023cited by 6
- 2024ANIM-400K: A Large-Scale Dataset for Automated End-To-End Dubbing of Videocited by 6
- 2023Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbingcited by 5
- 2023Improving Isochronous Machine Translation with Target Factors and Auxiliary Counterscited by 3
- 2022Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languagescited by 2
12 most cited of 13 All 13 (JSON)
- 2026PS-TTS: Phonetic Synchronization in Text-to-Speech for Achieving Natural Automated Dubbing10 Apr 2026
- 2024ANIM-400K: A Large-Scale Dataset for Automated End-To-End Dubbing of Video10 Jan 2024
- 2023Direct Models for Simultaneous Translation and Automatic Subtitling: FBK@IWSLT202327 Sep 2023
- 2023Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters22 May 2023
- 2023Jointly Optimizing Translations and Speech Timing to Improve Isochrony in Automatic Dubbing25 Feb 2023
- 2022Dubbing in Practice: A Large Scale Study of Human Localization With Insights for Automatic Dubbing23 Dec 2022
- 2022VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing30 Nov 2022
- 2022Technology Pipeline for Large Scale Cross-Lingual Dubbing of Lecture Videos into Multiple Indian Languages1 Nov 2022
- 2022Direct Speech Translation for Automatic Subtitling27 Sep 2022
- 2022Prosodic Alignment for off-screen automatic dubbing6 Apr 2022
- 2021Isometric MT: Neural Machine Translation for Automatic Dubbing16 Dec 2021
- 2021Isochrony-Aware Neural Machine Translation for Automatic Dubbing16 Dec 2021
12 newest of 13 All 13 (JSON)