Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)

MRI-based 3D Model of Spoken Lips

Authors
Yun Chen, Qiang Fang, Wenhuan Lu, Jianguo Wei
Corresponding Author
Yun Chen
Available Online December 2016.
DOI
10.2991/iceeecs-16.2016.130How to use a DOI?
Keywords
3-Dimensional Articulatory Model; Control Parameter; Linear Component Analysis
Abstract

Modeling accurate speech organs are vital to speech synthesis. This paper introduces a construction method for geometric model of spoken lips based on a MRI database. Volume images of articulators were acquired by MRI on one Chinese subject uttering a corpus of sustained articulations. Then 3D models of each organ were annotated from relevant image slices. Finally linear component analysis was used to extract main control parameters from the 3D models of the spoken lips. The result shows that these control parameters could effectively represent the position and motion of spoken lips with a minor reconstruction error (less than 0.15cm).

Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
Series
Advances in Computer Science Research
Publication Date
December 2016
ISBN
10.2991/iceeecs-16.2016.130
ISSN
2352-538X
DOI
10.2991/iceeecs-16.2016.130How to use a DOI?
Copyright
© 2016, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Yun Chen
AU  - Qiang Fang
AU  - Wenhuan Lu
AU  - Jianguo Wei
PY  - 2016/12
DA  - 2016/12
TI  - MRI-based 3D Model of Spoken Lips
BT  - Proceedings of the 2016 4th International Conference on Electrical & Electronics Engineering and Computer Science (ICEEECS 2016)
PB  - Atlantis Press
SP  - 659
EP  - 664
SN  - 2352-538X
UR  - https://doi.org/10.2991/iceeecs-16.2016.130
DO  - 10.2991/iceeecs-16.2016.130
ID  - Chen2016/12
ER  -