🤖 AI Summary
This study investigates the coordination and trade-off mechanisms between primary and secondary articulators (lips/tongue vs. jaw) in the dynamic articulatory model DYNARTmo, focusing on lip–jaw and tongue–jaw coordination patterns. To address the computational complexity of biomechanical modeling, we propose a simplified cross-articulator effort allocation mechanism based on first-order task-space gesture representations—avoiding second-order biomechanical simulations—thereby capturing movement saturation and functional compensation among articulators. By integrating phonologically grounded dynamic modeling with consonant–vowel (CV) syllable-level task-space control, the model successfully reproduces key empirical phenomena: tongue-tip closure driven by jaw displacement, active lower-lip elevation in bilabial stops, and tongue–jaw co-movement. Our results demonstrate the computational feasibility of achieving high-fidelity articulatory coordination via low-dimensional control strategies. This work advances speech production modeling by offering a novel framework that balances explanatory power with scalability.
📝 Abstract
This paper investigates how the dynamic articulatory model DYNARTmo accounts for articulatory tradeoffs between primary and secondary articulators, with a focus on lips-jaw and tongue-jaw coordination. While DYNARTmo does not implement full task-dynamic second-order biomechanics, it adopts first-order task-space gesture specifications comparable to those used in articulatory phonology and integrates a simplified mechanism for distributing articulatory effort across multiple articulators. We first outline the conceptual relationship between task dynamics and DYNARTmo, emphasizing the distinction between high-level task-space trajectories and their low-level articulatory execution. We then present simulation results for a set of CV syllables that illustrate how jaw displacement varies as a function of both place of articulation (labial, apical, dorsal) and vowel context (/a/, /i/, /u/). The model reproduces empirically attested patterns of articulatory synergy, including jaw-supported apical closures, lower-lip elevation in bilabial stops, tongue-jaw co-movement, and saturation effects in labial constrictions. These results demonstrate that even with computationally simplified assumptions, DYNARTmo can generate realistic spatio-temporal movement patterns that capture key aspects of articulatory tradeoff and synergy across a range of consonant-vowel combinations.