Importance of parasagittal sensor information in tongue motion capture through a diphonic analysis

Salvador Medina, Sarah Taylor, Mark Tiede, Alexander Hauptmann, Iain Matthews

Research output: Contribution to conferencePaperpeer-review

3 Downloads (Pure)

Abstract

Our study examines the information obtained by adding two parasagittal sensors to the standard midsagittal configuration of an Electromagnetic Articulography (EMA) observation of lingual articulation. In this work, we present a large and phonetically balanced corpus obtained from an EMA recording session of a single English native speaker reading 1899 sentences from the Harvard and TIMIT corpora. According to a statistical analysis of the diphones produced during the recording session, the motion captured by the parasagittal sensors has a low correlation to the midsagittal sensors in the mediolateral direction. We perform a geometric analysis of the lateral tongue by the measure of its width and using a proxy of the tongue’s curvature that is computed using the Menger curvature. To provide a better understanding of the tongue sensor motion we present dynamic visualizations of all diphones. Finally, we present a summary of the velocity information computed from the tongue sensor information.

Original languageEnglish
Pages3340-3344
Number of pages5
DOIs
Publication statusPublished - 2021
EventInterspeech 2021 - Brno, Czech Republic
Duration: 30 Aug 20213 Sep 2021
https://www.interspeech2021.org/

Conference

ConferenceInterspeech 2021
Country/TerritoryCzech Republic
CityBrno
Period30/08/213/09/21
Internet address

Keywords

  • Tongue
  • Parasagittal
  • electromagnetic articulography
  • articulatory analysis
  • Articulatory analysis
  • Electromagnetic articulography
  • EMA

Cite this