An improvement of automatic speech reading using an intensity to contour stochastic transformation
Conference Paper, Proceedings of 8th Australian International Conference on Speech, Science and Technology (SST '00), pp. 98 - 103, December, 2000
Abstract
The extraction of lip contour features is difficult and computationally expensive. In this paper we explore the desirable alternative of estimating the contour from area features (ie. mouth grey~scale image) directly via a non—linear stochastic mapping technique. Results are presented on our own speaker dependent database to demonstrate this method and explain why it performs better than previous techniques.
BibTeX
@conference{Lucey-2000-121095,author = {S. Lucey and S. Sridharan and V. Chandran},
title = {An improvement of automatic speech reading using an intensity to contour stochastic transformation},
booktitle = {Proceedings of 8th Australian International Conference on Speech, Science and Technology (SST '00)},
year = {2000},
month = {December},
pages = {98 - 103},
}
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