@InProceedings{Hewer2019_95,
author = {Alexander Hewer and Ingmar Steiner and Korin Richmond},
booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2019},
title = {Analysis of coarticulation using EMA data with a statistical shape space model of the tongue},
year = {2019},
editor = {Peter Birkholz and Simon Stone},
month = mar,
pages = {296--303},
publisher = {TUDpress, Dresden},
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.},
isbn = {978-3-959081-57-3},
issn = {0940-6832},
keywords = {Sprachproduktion},
url = {https://www.essv.de/pdf/pdf/2019_296_303.pdf},
}