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非对称黏性空气动力学声带模型及其病理喉声源分类
引用本文:陈莉媛, 薛隆基, 曾晓亮, 张莉丽, 孙宝印, 张晓俊, 陶智. 非对称黏性空气动力学声带模型及其病理喉声源分类[J]. 声学学报, 2020, 45(5): 759-769. DOI: 10.15949/j.cnki.0371-0025.2020.05.015
作者姓名:陈莉媛  薛隆基  曾晓亮  张莉丽  孙宝印  张晓俊  陶智
作者单位:苏州大学光电科学与工程学院 苏州215006;苏州大学物理科学与技术学院 苏州215006
基金项目:国家自然科学基金重点项目(61271359)和江苏省自然科学基金青年项目(BK20140354)资助
摘    要:二质量块模型(SH模型)在模拟病理发声时未考虑弹性力对发声系统的影响,也未考虑黏性气流在声门闭合阶段的作用,本文提出一种非对称黏性空气动力学声带模型(ISAC模型)。对非对称振动时的附加弹性系数和弹性形变进行分析,修正质量块所受的碰撞力,随位移量变化调节原始模型中的劲度系数,模拟环甲肌和甲杓肌的张力作用;通过声门倾角变化得到声门处的气流分布,以实现声带壁上的非对称气流压力作用。该模型应用于发声病理诊断,模型仿真和病理喉声源分类识别的实验结果显示,各声门特征参数相对误差不超过1.5%,ISAC模型的加权平均误差低于SH模型,二分类识别率和细分准确率均高于SH模型。

收稿时间:2019-07-07
修稿时间:2020-01-21

An asymmetric viscous aerodynamic laryngeal sound source model and its application in vocal pathological diagnosis
CHEN Liyuan, XUE Longji, ZENG Xiaoliang, ZHANG Lili, SUN Baoyin, ZHANG Xiaojun, TAO Zhi. An asymmetric viscous aerodynamic laryngeal sound source model and its application in vocal pathological diagnosis[J]. ACTA ACUSTICA, 2020, 45(5): 759-769. DOI: 10.15949/j.cnki.0371-0025.2020.05.015
Authors:CHEN Liyuan  XUE Longji  ZENG Xiaoliang  ZHANG Lili  SUN Baoyin  ZHANG Xiaojun  TAO Zhi
Affiliation:1 School of Optoelectronic Science and Engineering, Soochow University Suzhou 215006;2 School of Physical Science and Technology, Soochow University Suzhou 215006
Abstract:Two-mass model (SH model) ignores the influence of elastic force on vocalization system and the role of viscous airflow in glottis closure in pathological voice simulation.In this paper,an asymmetric viscous aerodynamic acoustic model (ISAC model) is proposed.The impact force on the mass block is corrected by analyzing the additional elastic coefficient and elastic deformation of asymmetric vibration.The stiffness coefficient in the original model is adjusted with the change of displacement and the tension effect of cricothyroid muscles and arytenoid muscles was simulated.The continuous distribution of asymmetric viscous airflow pressure on the vocal cord wall is obtained by changing glottis inclination angle.When the model is applied to the diagnosis of vocal pathology,the results of model simulation and pathological classification show that the relative error of feature parameters of glottis is no more than 1.5%,the weighted mean error of ISAC model is lower than SH model,and the binary recognition rate and subdivision accuracy rate are higher than SH model. 
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