Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Speech animation using electromagnetic articulography as motion capture
  data   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.

33
The categories of this paper are: plasm-ph
14
The categories of this paper are: math-ph
13
The categories of this paper are: quant-ph
8
The categories of this paper are: hep-ex
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
9
The categories of this paper are: nlin
27
The categories of this paper are: comp-gas
4
The categories of this paper are: cond-mat
24
The categories of this paper are: dg-ga
11
The categories of this paper are: hep-lat
28
The categories of this paper are: alg-geom
22
The categories of this paper are: chao-dyn
29
The categories of this paper are: funct-an
19
The categories of this paper are: eess
15
The categories of this paper are: nucl-ex