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X-Dubbing system tackles speech-to-speech translation with temporal and visual constraints

By PulseAugur Editorial · [1 sources] ·

Researchers have introduced X-Dubbing, a novel approach to speech-to-speech translation that addresses the challenges of temporal and visual synchronization with video content. The system comprises a Dubbing Translator that generates time-aware scripts and a Voice Actor that synthesizes speech synchronized with the original video, operating within a language-agnostic timing budget. This method does not require paired dubbing data, as its components are trained on separate speech-text and audio-visual datasets. Experiments demonstrate that X-Dubbing surpasses existing methods in metrics such as isochrony and audio-visual correspondence. AI

IMPACT This research advances speech-to-speech translation by addressing synchronization challenges, potentially improving cross-lingual dubbing quality and efficiency.

RANK_REASON The cluster contains a research paper detailing a new method for speech-to-speech translation. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

X-Dubbing system tackles speech-to-speech translation with temporal and visual constraints

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The cluster contains a research paper detailing a new method for speech-to-speech translation. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Jeongsoo Choi, Ji-Hoon Kim, Junseok Ahn, Joon Son Chung ·

    X-Dubbing: Speech-to-Speech Translation under Temporal and Visual Constraints

    arXiv:2610.32042v1 Announce Type: new Abstract: Cross-lingual dubbing aims to convert source speech into target-language speech that remains synchronized with the original video. The key to this task is to produce a faithful translation that is naturally speakable within the sour…

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