Finding phonemes: improving machine lip-reading

Conference paper


Bear, Y., Harvey, Richard W. and Lan, Yuxuan 2015. Finding phonemes: improving machine lip-reading. FAAVSP - The 1st Joint Conference on Facial Analysis, Animation and Auditory-Visual Speech Processing. Education Centre of the Jesuits, Vienna, Austria 11 - 13 Sep 2015 International Speech Communication Association. pp. 115-120
AuthorsBear, Y., Harvey, Richard W. and Lan, Yuxuan
TypeConference paper
Abstract

In machine lip-reading there is continued debate and research
around the correct classes to be used for recognition.
In this paper we use a structured approach for devising
speaker-dependent viseme classes, which enables the creation
of a set of phoneme-to-viseme maps where each has a different
quantity of visemes ranging from two to 45. Viseme classes
are based upon the mapping of articulated phonemes, which
have been confused during phoneme recognition, into viseme
groups.
Using these maps, with the LiLIR dataset, we show the
effect of changing the viseme map size in speaker-dependent
machine lip-reading, measured by word recognition correctness
and so demonstrate that word recognition with phoneme classifiers
is not just possible, but often better than word recognition
with viseme classifiers. Furthermore, there are intermediate
units between visemes and phonemes which are better still.

Keywordsvisual-only speech recognition; computer lipreading; visemes; classification; pattern recognition
Year2015
ConferenceFAAVSP - The 1st Joint Conference on Facial Analysis, Animation and Auditory-Visual Speech Processing
PublisherInternational Speech Communication Association
Accepted author manuscript
License
CC BY
Publication dates
Print15 Sep 2015
Publication process dates
Deposited09 Feb 2017
AcceptedSep 2015
Web address (URL)http://www.isca-speech.org/archive/avsp15/papers/av15_115.pdf
Page range115-120
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https://repository.uel.ac.uk/item/854v4

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