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LRS3-TED: a large-scale dataset for visual speech recognition
September 03, 2018 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman
arXiv ID
1809.00496
Category
cs.CV: Computer Vision
Citations
555
Venue
arXiv.org
Last Checked
5 months ago
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.
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