Gender and Dialect Bias in YouTube's Automatic Captions

WS 2017 Rachael Tatman

This project evaluates the accuracy of YouTube{'}s automatically-generated captions across two genders and five dialect groups. Speakers{'} dialect and gender was controlled for by using videos uploaded as part of the {``}accent tag challenge{''}, where speakers explicitly identify their language background... (read more)

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