Palaparthi Anil, Smith Simeon, Titze Ingo R
National Center for Voice and Speech, The University of Utah, 1901 S Campus Dr, Suite 2120, Salt Lake City, UT 84112, USA.
Department of Bioengineering, The University of Utah, Salt Lake City, UT 84112, USA.
Appl Sci (Basel). 2019 Nov;9(21). doi: 10.3390/app9214671. Epub 2019 Nov 1.
Any specific vowel sound that humans produce can be represented in terms of four perceptual features in addition to the vowel category. They are pitch, loudness, brightness, and roughness. Corresponding acoustic features chosen here are fundamental frequency ( ), sound pressure level (SPL), normalized spectral centroid (NSC), and approximate entropy (ApEn). In this study, thyroarytenoid (TA) and cricothyroid (CT) activations were varied computationally to study their relationship with these four specific acoustic features. Additionally, postural and material property variables such as vocal fold length (L) and fiber stress () in the three vocal fold tissue layers were also calculated. A fiber-gel finite element model developed at National Center for Voice and Speech was used for this purpose. Muscle activation plots were generated to obtain the dependency of postural and acoustic features on TA and CT muscle activations. These relationships were compared against data obtained from previous in vivo human larynx studies and from canine laryngeal studies. General trends are that and increase with CT activation, while NSC decreases when CT activation is raised above 20%. With TA activation, acoustic features have no uniform trends, except SPL increases uniformly with TA if there is a co-variation with CT activation. Trends for postural variables and material properties are also discussed in terms of activation levels.
人类发出的任何特定元音除了元音类别外,还可以用四个感知特征来表示。它们是音高、响度、明亮度和粗糙度。这里选择的相应声学特征是基频()、声压级(SPL)、归一化谱质心(NSC)和近似熵(ApEn)。在本研究中,通过计算改变甲杓肌(TA)和环甲肌(CT)的激活程度,以研究它们与这四个特定声学特征的关系。此外,还计算了三个声带组织层中的姿势和材料属性变量,如声带长度(L)和纤维应力()。为此使用了国家语音与言语中心开发的纤维-凝胶有限元模型。生成肌肉激活图以获得姿势和声学特征对TA和CT肌肉激活的依赖性。将这些关系与先前人体喉部体内研究和犬类喉部研究获得的数据进行比较。一般趋势是,随着CT激活,和增加,而当CT激活提高到20%以上时,NSC降低。对于TA激活,声学特征没有统一的趋势,除非在与CT激活存在协变的情况下,SPL随TA均匀增加。还根据激活水平讨论了姿势变量和材料属性的趋势。