Abstract

Three popular vocal-tract animation paradigms were tested for intelligibility when displaying videos of pre-recorded Electromagnetic Articulography (EMA) data in an online experiment. EMA tracks the position of sensors attached to the tongue. The conditions were dots with tails (where only the coil location is presented), 2D animation (where the dots are connected to form 2D representations of the lips, tongue surface and chin), and a 3D model with coil locations driving facial and tongue rigs. The 2D animation (recorded in VisArtico) showed the highest identification of the prompts.

Highlights

  • Electromagnetic Articulography (EMA) is a popular vocal-tract motion capture technique used increasingly for second language learning and speech therapy purposes

  • The claim that subjects make gains in tongue gesture awareness only after a practice period with the visualization (Ouni, 2011) underlies the need for research into how EMA visualizations can best be presented to subjects in speech therapy or L2-learning settings

  • The 2D animation was significantly better-identified than the 3D animation

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Summary

Introduction

Electromagnetic Articulography (EMA) is a popular vocal-tract motion capture technique used increasingly for second language learning and speech therapy purposes. In this situation, an instructor aids the subject to reach a targeted vocal tract configuration by showing them a live augmented visualization of the trajectories of (some of) the subject’s articulators, alongside a targeted configuration. The claim that subjects make gains in tongue gesture awareness only after a practice period with the visualization (Ouni, 2011) underlies the need for research into how EMA visualizations can best be presented to subjects in speech therapy or L2-learning settings

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