Paper Abstract and Keywords |
Presentation |
2019-12-06 13:55
[Poster Presentation]
Estimation of three-dimensional tongue shape from midsagittal tongue contour using regression models Tatsuya Kitamura (Konan Univ.), Hisanori Makinae (NRIPS), Masashi Ito (TIT) SP2019-40 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In this study, we investigated methods to estimate the tongue contours of the outer sagittal planes from a midsagittal tongue contour using linear and machine-learning-based regression models. To validate the method, tongue contours were extracted from each frame of a 3D MRI movie of the three sagittal planes, including the midsagittal plane, recorded while a male adult speaker produced the Japanese vowel sequence /aiueo/. The extracted tongue contours were then converted into harmonic amplitude profiles (HAPs) using a 2D Fourier transformation to reduce the number of dimensions. Finally, we calculated the coefficients of a multiple regression model and trained a random forest regression model to map the HAP of the midsagittal plane to those of the outer sagittal planes. In comparison with the multiple regression model, the random forest regression model demonstrated a higher estimation accuracy and exhibited an average distance error of less than 2.0 mm in a 10-fold cross-validation test. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
tongue contour / three-dimensional MRI data / linear regression / random forest regression / data-driven approach / / / |
Reference Info. |
IEICE Tech. Rep., vol. 119, no. 321, SP2019-40, pp. 67-72, Dec. 2019. |
Paper # |
SP2019-40 |
Date of Issue |
2019-11-29 (SP) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
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SP2019-40 |
Conference Information |
Committee |
NLC IPSJ-NL SP IPSJ-SLP |
Conference Date |
2019-12-04 - 2019-12-06 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
NHK Science & Technology Research Labs. |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
The 6th Natural Language Processing Symposium & The 21th Spoken Language Symposium |
Paper Information |
Registration To |
SP |
Conference Code |
2019-12-NLC-NL-SP-SLP |
Language |
English |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
Estimation of three-dimensional tongue shape from midsagittal tongue contour using regression models |
Sub Title (in English) |
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Keyword(1) |
tongue contour |
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three-dimensional MRI data |
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linear regression |
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random forest regression |
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data-driven approach |
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1st Author's Name |
Tatsuya Kitamura |
1st Author's Affiliation |
Konan University (Konan Univ.) |
2nd Author's Name |
Hisanori Makinae |
2nd Author's Affiliation |
National Research Institute of Police Science (NRIPS) |
3rd Author's Name |
Masashi Ito |
3rd Author's Affiliation |
Tohoku Institute of Technology (TIT) |
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Speaker |
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Date Time |
2019-12-06 13:55:00 |
Presentation Time |
90 minutes |
Registration for |
SP |
Paper # |
SP2019-40 |
Volume (vol) |
vol.119 |
Number (no) |
no.321 |
Page |
pp.67-72 |
#Pages |
6 |
Date of Issue |
2019-11-29 (SP) |
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