LRS3-TED: a large-scale dataset for visual speech recognition
2018-09-03Code Available0· sign in to hype
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman
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Abstract
This paper introduces a new multi-modal dataset for visual and audio-visual speech recognition. It includes face tracks from over 400 hours of TED and TEDx videos, along with the corresponding subtitles and word alignment boundaries. The new dataset is substantially larger in scale compared to other public datasets that are available for general research.