@inproceedings{Jay2000,
abstract = {This paper describes a hidden Markov model (HMM) based visual synthesizer designed to assist persons with impairedhearing. This synthesizer builds on results in the area of audio-visual speech recognition. We describe how a correlation HMM can be used to integrate independent acoustic and visual HMMs for speech-to-visual synthesis. Our results show that an HMM correlating model can significantly improve synchronization errors versus techniques which compensate for rate differences through scaling.},
author = {Williams, J.J. and Katsaggelos, A.K. and Randolph, M.A.},
booktitle = {2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100)},
doi = {10.1109/ICASSP.2000.859323},
isbn = {0-7803-6293-4},
issn = {15206149},
pages = {2393--2396},
publisher = {IEEE},
title = {{A hidden Markov model based visual speech synthesizer}},
url = {http://ieeexplore.ieee.org/document/859323/},
volume = {4},
year = {2000}
}

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