Analysis of coarticulation using EMA data with a statistical shape space model of the tongue

Authors: Alexander Hewer, Ingmar Steiner, Korin Richmond

Abstract:

This study proposes a novel way to analyze the articulatory features ofdiphones in electromagnetic articulography (EMA) recordings by using a statisticaltongue model to construct a speaker-independent articulatory space. Initial statistical analysis shows that trajectories from different instances of the same diphone aresimilar to each other in this space, which implies that it is a suitable representationto study coarticulation effects.