Articulatory space calibration in 3D electro-magnetic articulography

An Ji, Michael T. Johnson, Jeffrey Berry

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

This paper introduces a new method to calibrate data collected using Electro-Magnetic Articulography (EMA) into an appropriate articulatory space. A bite plate record for a target subject is used to define the maxillary occlusal and midsagittal planes, and then a single quaternion rotation is derived to transform the dataset into the new anatomically referenced space. The choice of specific rotation solution is discussed relative to the corresponding anatomical assumptions regarding the original sensor placement and coordinate system. Data were collected using NDI Wave Speech Research System for one pilot subject, and calibration results and consistency throughout the calibration record reviewed. The results show that the rotation solution can accurately and consistently transform all sensors' positions into an articulatory space in which sensor movements and orientations can be easily analyzed. This preliminary study enables the investigation of articulatory kinematics and relationship to acoustics.

Original languageEnglish
Title of host publication2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings
Pages155-159
Number of pages5
DOIs
StatePublished - 2013
Event2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Beijing, China
Duration: Jul 6 2013Jul 10 2013

Publication series

Name2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013 - Proceedings

Conference

Conference2013 IEEE China Summit and International Conference on Signal and Information Processing, ChinaSIP 2013
Country/TerritoryChina
CityBeijing
Period7/6/137/10/13

Keywords

  • Electro-Magnetic Articulography
  • articulatory space
  • quaternion representation

ASJC Scopus subject areas

  • Information Systems
  • Signal Processing

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