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Constrained LDDMM for dynamic vocal tract morphing: integrating volumetric and real-time MRI

Tharinda Piyadasa, Joan Glaunès, Amelia Gully, Michael Proctor, Kirrie Ballard, Tuende Szalay, Naeim Sanaei, Sheryl Foster, David Waddington, Craig Jin

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

Abstract

We present a novel framework for analyzing dynamic vocal tract deformations by integrating volumetric Magnetic Resonance Imaging (MRI) data and real-time MRI (rtMRI) boundary constraints within an iterative Large Deformation Diffeomorphic Metric Mapping (LDDMM) framework. More precisely, we apply LDDMM to morph volumetric vocal tract shapes using rtMRI boundary constraints that enable a smooth and anatomically plausible articulatory transformation. We demonstrate the method and discuss the issues involved using a vowel-consonant-vowel sequence. We show the influence of varying the number of rtMRI images on the resulting articulatory transformation.
Original languageEnglish
Title of host publicationInterspeech 2025
Subtitle of host publicationProceedings of the 26th Annual Conference of the International Speech Communication Association
Place of PublicationBaixas, France
PublisherInternational Speech Communication Association (ISCA)
Pages968-972
Number of pages5
DOIs
Publication statusPublished - 2025
EventInterspeech Conference (26th : 2025) - Rotterdam, Netherlands
Duration: 17 Aug 202521 Aug 2025

Publication series

NameProceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
ISSN (Print)2308-457X
ISSN (Electronic)2958-1796

Conference

ConferenceInterspeech Conference (26th : 2025)
Country/TerritoryNetherlands
CityRotterdam
Period17/08/2521/08/25

Keywords

  • speech production
  • , magnetic resonance imaging
  • large deformation diffeomorphic metric mapping
  • magnetic resonance imaging

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