Visual speech recognition: aligning terminologies for better understanding

Conference paper


Bear, Y. and Taylor, Sarah L. 2017. Visual speech recognition: aligning terminologies for better understanding. 28th British Machine Vision Conference. London, UK 04 - 07 Sep 2017 BMVA Press.
AuthorsBear, Y. and Taylor, Sarah L.
TypeConference paper
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.

Year2017
Conference28th British Machine Vision Conference
PublisherBMVA Press
Publisher's version
License
CC BY-ND
Publication dates
PrintSep 2017
Publication process dates
Deposited24 Aug 2017
AcceptedJul 2017
Book titleProceedings of British Machine Vision Conference
Web address (URL)http://www.bmva.org/bmvc/2017/toc.html
Additional information

© 2017 The authors

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https://repository.uel.ac.uk/item/84qv3

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