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

Kristy James, Alexander Hewer, Ingmar Steiner, Stefanie Wuhrer

In: Interspeech. Conference in the Annual Series of Interspeech Events (INTERSPEECH-2016) September 8-12 San Francisco CA United States Seiten 1569-1570 9/2016.


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.

Weitere Links

Interspeech2016.pdf (pdf, 373 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence