The Dynamic Articulatory Model DYNARTmo: Dynamic Movement Generation and Speech Gestures
Bernd J. Kröger
TL;DR
The paper introduces DYNARTmo, a dynamic articulatory model that operationalizes a gesture-score framework to convert cognitive-phonological plans into continuous articulator trajectories. Gestures are defined by a temporal activation $a_g(t)$, a target vector $T_{g,P}$, and a pull weight $p_g$, yielding an instantaneous displacement $D_{g,P}(t) = a_g(t)\,T_{g,P}$ and a blended trajectory $P(t) = \frac{\sum_{g} p_g\,a_g(t)\,T_{g,P}}{\sum_{g} p_g\,a_g(t)}$. Gesture scores are proposed to be learned premotorly, though a full language-specific syllabary is still needed to reliably compute onset/offset times from phonological input, motivating integration with a mental syllabary. An accompanying web app and Python supplementary material enable visualization and reproduction of gesture sequences, facilitating language extension and cross-language exploration of coarticulation phenomena.
Abstract
This paper describes the current implementation of the dynamic articulatory model DYNARTmo, which generates continuous articulator movements based on the concept of speech gestures and a corresponding gesture score. The model provides a neurobiologically inspired computational framework for simulating the hierarchical control of speech production from linguistic representation to articulatory-acoustic realization. We present the structure of the gesture inventory, the coordination of gestures in the gesture score, and their translation into continuous articulator trajectories controlling the DYNARTmo vocal tract model.
