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- University of KaiserslauternDE125 papers
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14 papers · 1 filter
A real-time framework for visual feedback of articulatory data using statistical shape models
Kristy James, Alexander Hewer, Ingmar Steiner +1
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 palat…
ManyDSL: A Host for Many Languages
Piotr Danilewski, Philipp Slusallek
Domain-specific languages are becoming increasingly important. Almost every application touches multiple domains. But how to define, use, and combine multiple DSLs within the same…
Building Code with Dynamic Staging
Piotr Danilewski, Philipp Slusallek
When creating a new domain-specific language (DSL) it is common to embed it as a part of a flexible host language, rather than creating it entirely from scratch. The semantics of a…
A Multilinear Tongue Model Derived from Speech Related MRI Data of the Human Vocal Tract
Alexander Hewer, Stefanie Wuhrer, Ingmar Steiner +1
We present a multilinear statistical model of the human tongue that captures anatomical and tongue pose related shape variations separately. The model is derived from 3D magnetic r…
Quaternionic spherical harmonics and a sharp multiplier theorem on quaternionic spheres
Julian Ahrens, Michael G. Cowling, Alessio Martini +1
A sharp spectral multiplier theorem of Mihlin--Hörmander type is proved for a distinguished sub-Laplacian on quaternionic spheres. This is the first such result on compact su…
Predicting Process Behaviour using Deep Learning
Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke
Predicting business process behaviour is an important aspect of business process management. Motivated by research in natural language processing, this paper describes an applicati…