  Electromagnetic articulography (EMA) captures the position and orientation of
a number of markers, attached to the articulators, during speech. As such, it
performs the same function for speech that conventional motion capture does for
full-body movements acquired with optical modalities, a long-time staple
technique of the animation industry. In this paper, EMA data is processed from
a motion-capture perspective and applied to the visualization of an existing
multimodal corpus of articulatory data, creating a kinematic 3D model of the
tongue and teeth by adapting a conventional motion capture based animation
paradigm. This is accomplished using off-the-shelf, open-source software. Such
an animated model can then be easily integrated into multimedia applications as
a digital asset, allowing the analysis of speech production in an intuitive and
accessible manner. The processing of the EMA data, its co-registration with 3D
data from vocal tract magnetic resonance imaging (MRI) and dental scans, and
the modeling workflow are presented in detail, and several issues discussed.

Human-Computer Interaction;Quantitative Methods