Mapping palatal shape to electromagnetic articulography data: An approach using 3D scanning and sensor matching

Author:

Nota Yukiko1,Kitamura Tatsuya2,Takemoto Hironori3,Maekawa Kikuo1

Affiliation:

1. National Institute for Japanese Language and Linguistics 1 , Tachikawa, Tokyo 190-0014, Japan

2. Faculty of Intelligence and Informatics, Konan University 2 , Kobe, Hyogo 658-8501, Japan

3. Faculty of Creative Engineering, Chiba Institute of Technology 3 , Narashino, Chiba 275-0016, Japan ynota@ninjal.ac.jp , t-kitamu@konan-u.ac.jp , hironori.takemoto@p.chibakoudai.jp , kikuo@ninjal.ac.jp

Abstract

A method for superimposing the shape of the palate on three-dimensional (3D) electromagnetic articulography (EMA) data is proposed. A biteplate with a dental impression tray and EMA sensors is used to obtain the palatal shape and record the sensor positions. The biteplate is then 3D scanned, and the scanned palate is mapped to the EMA data by matching the sensor positions on the scanned image with those in the EMA readings. The average distance between the mapped palate and the EMA palate traces is roughly 1 mm for nine speakers and is comparable to the measurement error of the EMA.

Funder

Japan Society for the Promotion of Science

Publisher

Acoustical Society of America (ASA)

Subject

General Medicine

Reference7 articles.

1. A review of data collection practices using electromagnetic articulography;Lab. Phonol.,2021

2. Estimating lingual constriction location in high vowels: A comparison of EMA- and EPG-based measures;J. Phon.,2002

3. Super-imposing maxillary and palatal locations for electroarticulometry: A SIMPLE method;J. Acoust. Soc. Am.,2015

4. Visualisation and analysis of speech production with electropalatography;J. Imaging,2019

5. D. Frisch . “ point2trimesh()—distance between point and triangulated surface, version 1.0.0.0 (2016),” https://www.mathworks.com/matlabcentral/fileexchange/52882-point2trimesh-distance-between-point-and-triangulated-surface.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3