  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.
