Calka Maxime, Badin Pierre, Nazari Mohammad Ali, Rochette Michel, Perrier Pascal, Payan Yohan
Université Grenoble Alpes, CNRS, Grenoble INP, TIMC, Grenoble, France.
Université Grenoble Alpes, CNRS, Grenoble INP, GIPSA-Lab, Grenoble, France.
PLoS Comput Biol. 2025 Sep 8;21(9):e1013378. doi: 10.1371/journal.pcbi.1013378. eCollection 2025 Sep.
We present a new Finite Element (FE) tongue model that was designed to precisely account for 3D tongue shapes produced during isolated French speech sounds by a male individual (RS). Such a high degree of realism will enable scientists to precisely and quantitatively assess, in a speaker-specific manner, hypotheses about speech motor control and the impact of tongue anatomy, muscle arrangements, and tongue dynamics in this context.
The shape and topology of the FE model were generated from 3D high resolution orofacial MR images of RS having his tongue in "neutral" posture. Mesh density was determined with convergence and mesh quality analyses. In a first step, muscle anatomy in the tongue was determined based on existing literature, and, in a second step, it was refined and evaluated by comparing actual and simulated 3D tongue shapes for various French speech sounds.
Results are twofold. Firstly, a functional organization of the Genioglossus muscle into 4 parts is proposed which, on the one hand, is compatible with anatomical observations of the human tongue, and, on the other hand, goes beyond this anatomical account to faithfully reproduce the 3D tongue shape observed for RS in vowel /i/. Secondly, the realism of this implementation is demonstrated by the good match obtained for other isolated French sounds between actual and simulated tongue shapes. These simulations also inform us about the recruitment of tongue muscles for the main French speech sounds. Recruitment patterns are consistent with findings from the literature including both EMG measurements and model-based simulations.
The new model is made freely available, along with the data. Combined with mathematical tools that transform the tongue model cloning RS tongue into other models that account for the morphology of various individuals, the model can be a powerful tool to investigate healthy and pathological speech from various perspectives.
我们提出了一种新的有限元(FE)舌模型,该模型旨在精确呈现一名男性个体(RS)在发孤立的法语语音时产生的三维舌形。如此高度的逼真度将使科学家能够以特定说话者的方式,精确且定量地评估关于语音运动控制的假设,以及在此背景下舌部解剖结构、肌肉排列和舌部动态的影响。
有限元模型的形状和拓扑结构由RS处于“中性”姿势时的三维高分辨率口腔颌面磁共振图像生成。通过收敛性分析和网格质量分析确定网格密度。第一步,根据现有文献确定舌部的肌肉解剖结构,第二步,通过比较各种法语语音的实际和模拟三维舌形对其进行细化和评估。
结果有两方面。首先,提出了将颏舌肌功能组织分为4部分的方法,一方面,这与人类舌头的解剖学观察结果相符,另一方面,它超越了解剖学描述,能够如实地再现RS发元音/i/时观察到的三维舌形。其次,通过实际和模拟舌形在其他孤立法语语音上的良好匹配,证明了该实现方式的逼真度。这些模拟还让我们了解了法语主要语音中舌肌的募集情况。募集模式与包括肌电图测量和基于模型的模拟在内的文献研究结果一致。
新模型及其数据可免费获取。结合将克隆RS舌的舌模型转换为其他考虑不同个体形态的模型的数学工具,该模型可以成为从各种角度研究健康和病理性语音的有力工具。