Papers by Yogesh Virkar

1 papers
Dubbing in Practice: A Large Scale Study of Human Localization With Insights for Automatic Dubbing (2023.tacl-1)

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Challenge: a large-scale study of human dubbing in practice is lacking in qualitative literature on human dubs . authors argue for vocal naturalness and translation quality over isometric constraints . a data-driven examination of the way humans perform this task is needed .
Approach: They analyze 319.57 hours of video from 54 professionally produced titles . they argue for vocal naturalness and translation quality over isometric constraints . authors say they need to preserve speech characteristics and transfer of semantic properties .
Outcome: The study challenges assumptions in qualitative and machine-learning literature on dubbing . it also finds that source-side audio influences human dubbing through other channels .

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