Which phoneme-to-viseme maps best improve visual-only computer lip-reading?
Computer Vision and Pattern Recognition
2018-04-26 v1 Computation and Language
Audio and Speech Processing
Abstract
A critical assumption of all current visual speech recognition systems is that there are visual speech units called visemes which can be mapped to units of acoustic speech, the phonemes. Despite there being a number of published maps it is infrequent to see the effectiveness of these tested, particularly on visual-only lip-reading (many works use audio-visual speech). Here we examine 120 mappings and consider if any are stable across talkers. We show a method for devising maps based on phoneme confusions from an automated lip-reading system, and we present new mappings that show improvements for individual talkers.
Cite
@article{arxiv.1710.01093,
title = {Which phoneme-to-viseme maps best improve visual-only computer lip-reading?},
author = {Helen L. Bear and Richard W. Harvey and Barry-John Theobald and Yuxuan Lan},
journal= {arXiv preprint arXiv:1710.01093},
year = {2018}
}