Importance of Parasagittal Sensor Information in Tongue Motion Capture through a Diphonic Analysis
|Salvador Medina (Carnegie Mellon University, USA), Sarah Taylor (University of East Anglia, UK), Mark Tiede (Haskins Laboratories, USA), Alexander Hauptmann (Carnegie Mellon University, USA), Iain Matthews (Epic Games, USA)|
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.