Papers with AV-TranSpeech

1 papers
AV-TranSpeech: Audio-Visual Robust Speech-to-Speech Translation (2023.acl-long)

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Challenge: Existing models for speech-to-speech translation suffer from distinct degradation in noisy environments and fail to translate visual speech.
Approach: They propose a text-based audio-visual speech-to-speech translation model that integrates visual information with audio-only data to improve system robustness.
Outcome: The proposed model outperforms models trained on audio-only corpus in two languages . it also improves with low-resource audio-visual data, compared with baselines .

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