Visual speech recognition: aligning terminologies for better understanding

Book chapter


Bear, Y. and Taylor, Sarah L. 2017. Visual speech recognition: aligning terminologies for better understanding. in: Proceedings of British Machine Vision Conference BMVA Press. pp. In Press
AuthorsBear, Y. and Taylor, Sarah L.
Abstract

We are at an exciting time for machine lipreading. Traditional research stemmed
from the adaptation of audio recognition systems. But now, the computer vision community
is also participating. This joining of two previously disparate areas with different
perspectives on computer lipreading is creating opportunities for collaborations, but in
doing so the literature is experiencing challenges in knowledge sharing due to multiple
uses of terms and phrases and the range of methods for scoring results.
In particular we highlight three areas with the intention to improve communication
between those researching lipreading; the effects of interchanging between speech reading
and lipreading; speaker dependence across train, validation, and test splits; and the
use of accuracy, correctness, errors, and varying units (phonemes, visemes, words, and
sentences) to measure system performance. We make recommendations as to how we
can be more consistent.

Book titleProceedings of British Machine Vision Conference
Page rangeIn Press
Year2017
PublisherBMVA Press
Publication dates
PrintSep 2017
Publication process dates
Deposited24 Aug 2017
AcceptedJul 2017
Event8th British Machine Vision Conference
Additional information

© 2017 The authors

Publisher's version
License
CC BY-ND
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https://repository.uel.ac.uk/item/84qv3

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