English

A real-time framework for visual feedback of articulatory data using statistical shape models

Human-Computer Interaction 2016-12-20 v1

Abstract

We present a novel open-source framework for visualizing electromagnetic articulography (EMA) data in real-time, with a modular framework and anatomically accurate tongue and palate models derived by multilinear subspace learning.

Cite

@article{arxiv.1612.06114,
  title  = {A real-time framework for visual feedback of articulatory data using statistical shape models},
  author = {Kristy James and Alexander Hewer and Ingmar Steiner and Stefanie Wuhrer},
  journal= {arXiv preprint arXiv:1612.06114},
  year   = {2016}
}

Comments

17th Annual Conference of the International Speech Communication Association (Interspeech), Oct 2016, San Francisco, United States

R2 v1 2026-06-22T17:27:58.378Z