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New metric evaluates lexical stress in English-to-Chinese S2ST

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new method to evaluate and preserve lexical stress in English-to-Chinese speech-to-speech translation (S2ST). They created a stress-annotated Chinese dataset and a Mandarin stress detector using XLS-R, integrating it with the English EmphAssess system to propose a novel objective metric for cross-lingual stress evaluation. A fine-tuned CosyVoice3 system demonstrated improved stress translation capabilities while maintaining translation quality, and the new evaluation metric showed strong correlation with human judgment. AI

IMPACT This research could improve the naturalness and expressiveness of speech-to-speech translation systems.

RANK_REASON The cluster contains an academic 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 →

New metric evaluates lexical stress in English-to-Chinese S2ST

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The cluster contains an academic 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) · Yuchen Song, Xi Chen, Mingze Li, Satoshi Nakamura ·

    Evaluating and Preserving Lexical Stress in English-to-Chinese Speech-to-Speech Translation

    arXiv:2606.15266v1 Announce Type: new Abstract: Speech-to-speech translation (S2ST) systems have achieved impressive progress in semantic accuracy and speech naturalness. However, the cross-lingual transfer of lexical stress, a vital cue for emphasis and speaker intent, remains h…

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