toloka/VOX-DUB

VOX-DUB is a human-based benchmark for evaluating AI dubbing systems.It includes: Audio fragments with original speech from real videos and their corresponding translated texts. Generated audio recordings produced by multiple dubbing/TTS systems. Human annotation results with pairwise A/B (+ SAME) evaluations across five aspects (pronunciation, naturalness, sound quality, emotion similarity, and voice similarity). Detailed annotation guidelines with examples for pairwise A/B… See the full description on the dataset page: https://huggingface.co/datasets/toloka/VOX-DUB.

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