LRS3-TED: a large-scale dataset for visual speech recognition

3 Sep 2018  ·  Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman ·

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.

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Datasets


Introduced in the Paper:

LRS3-TED

Used in the Paper:

LRW LRS2

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