Speaker-independent machine lip-reading with speaker-dependent viseme classifiers
Computer Vision and Pattern Recognition
2018-04-26 v1 Audio and Speech Processing
Abstract
In machine lip-reading, which is identification of speech from visual-only information, there is evidence to show that visual speech is highly dependent upon the speaker [1]. Here, we use a phoneme-clustering method to form new phoneme-to-viseme maps for both individual and multiple speakers. We use these maps to examine how similarly speakers talk visually. We conclude that broadly speaking, speakers have the same repertoire of mouth gestures, where they differ is in the use of the gestures.
Cite
@article{arxiv.1710.01122,
title = {Speaker-independent machine lip-reading with speaker-dependent viseme classifiers},
author = {Helen L. Bear and Stephen J. Cox and Richard W. Harvey},
journal= {arXiv preprint arXiv:1710.01122},
year = {2018}
}