Estimating Palatal and Pharyngeal Muscle Contraction in Hindi Syllable Pronunciation using Computational Modeling

Pub Date : 2024-07-18 DOI:10.1055/s-0044-1788591
Madhubari Vathulya, Subrato Sarkar, Indra Vir Singh, Tripta Prajapati, Pankaj Sharma
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Abstract

Introduction Speech, one of the main functions affected by cleft palate, involves a complex orchestra of sound deformation by various organs including the larynx, pharynx, epiglottis, palate, tongue, lip, and other structures complementing them. Although the effects of palatoplasty are traditionally evaluated subjectively, objective parameters have seldom been described to compare the pre- and postrepair functions. The study tries to extract the palatal and pharyngeal muscles while uttering various Hindi syllables and tries to find the percentage contraction of these structures as an objective assessment. Materials and Methods Digital Imaging and Communications in Medicine (DICOM) images while uttering each syllable of the Hindi syllable are obtained by subjecting a healthy volunteer to a dynamic magnetic resonance imaging (MRI). Using freeform geomagic software, 3D models of the structure of the pharynx and palate were created, which were then used to create a finite element model. Different anatomical constraints were applied to the muscles obtained. The finite element model was tested for convergence and a suitably fine mesh was used to obtain the results. The percentage of contraction of the palate and pharynx for uttering different syllables was thus evaluated. Results The palate and the posterior pharyngeal walls yielded different contractions for different syllables independent of each other. The highest contraction for the palate and posterior pharyngeal wall was for the syllable /k/ and the lowest regarding the palate was for /h/ and /eː/ for the pharyngeal wall. Conclusion Using computational modeling, quantification of speech in terms of percentage contraction of the palate and pharynx has been attempted for the Hindi language. Once validated with a larger population, the database may be used to quantify speech deformities due to structural pathologies in terms of palatal and pharyngeal contractions and help us assess the effectiveness of corrective surgeries for them.
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利用计算建模估计印地语音节发音中的腭肌和咽肌收缩情况
引言 言语是受腭裂影响的主要功能之一,涉及到各种器官(包括喉、咽、会厌、腭、舌、唇及其他辅助结构)声音变形的复杂交响乐。虽然传统上对腭成形术的效果进行主观评估,但很少有客观参数来比较修复前后的功能。本研究试图在发出各种印地语音节时提取腭肌和咽肌,并试图找出这些结构收缩的百分比,作为客观评估。材料和方法 对健康志愿者进行动态磁共振成像(MRI),获得发出每个印地语音节时的数字成像和医学通信(DICOM)图像。使用自由形态 geomagic 软件创建了咽部和上颚结构的三维模型,然后将其用于创建有限元模型。对获得的肌肉施加了不同的解剖约束。对有限元模型的收敛性进行了测试,并使用适当的精细网格来获得结果。由此评估了发出不同音节时上腭和咽部收缩的百分比。结果 上颚和咽后壁对不同音节产生了不同的收缩,彼此独立。腭和咽后壁对音节 /k/ 的收缩率最高,而腭对 /h/ 和咽壁对 /eː/ 的收缩率最低。结论 通过计算建模,我们尝试用上颚和咽部收缩的百分比来量化印地语的语音。一旦在更大的人群中得到验证,该数据库就可用于根据腭和咽的收缩情况量化因结构性病变导致的语音畸形,并帮助我们评估矫正手术的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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