FAU Erlangen-Nürnberg, Medical School, Division of Phoniatrics and Pediatric Audiology at the Department of Otorhinolaryngology Head & Neck Surgery, University Hospital Erlangen, Erlangen, Germany.
Department Mathematics, Applied Mathematics II, FAU Erlangen-Nürnberg, Erlangen, Germany.
J Voice. 2019 Sep;33(5):811.e1-811.e12. doi: 10.1016/j.jvoice.2018.04.011. Epub 2018 May 31.
The phonatory process is often judged during sustained phonation by analyzing the acoustic voice signal and the vocal fold vibrations. Many formulas and parameters have been suggested for qualifying the characteristics of the acoustic signal and the vocal fold vibrations during sustained phonation. These parameters are directly computed from the acoustic signal and the endoscopic glottal area waveform (GAW). The GAW is calculated from laryngeal high-speed videoendoscopy (HSV) recordings and describes the increase and decrease of the glottal area during the phonation process, that is, the opening and closing of the two oscillating vocal folds over time. However, some of the parameters have strong mathematical dependencies with one another and some are ill-defined. The purpose of this study is to identify mathematical dependencies between parameters with the aim of reducing their numbers and suggesting which parameters may best describe the properties of the GAW and the acoustical signal.
In this preliminary investigation, 20 frequently used parameters are examined: 10 GAW only and 10 both GAW and acoustic parameters.
In total 13 parameters can be neglected because of mathematical dependencies. In addition, nine of these parameters show problematic features that range from unexpected behavior to ill definition.
Reducing the number of parameters appears to be necessary to standardize vocal fold function analysis. This may lead to better comparability of research results from different studies.
在持续发声期间,通过分析声学语音信号和声带振动来评估发声过程。已经提出了许多公式和参数来定性分析持续发声期间声学信号和声带振动的特征。这些参数是直接从声学信号和内窥镜声门区波形(GAW)计算得出的。GAW 是从喉高速视频内窥镜(HSV)记录中计算得出的,描述了发声过程中声门区的增加和减少,即两个振荡声带随时间的开闭。然而,一些参数彼此之间具有很强的数学相关性,有些参数则定义不明确。本研究的目的是确定参数之间的数学相关性,以减少其数量,并提出哪些参数可以最好地描述 GAW 和声学信号的特性。
在本初步研究中,检查了 20 个常用参数:仅 GAW 参数 10 个,GAW 和声学参数各 10 个。
由于数学相关性,共有 13 个参数可以忽略不计。此外,其中 9 个参数表现出从异常行为到定义不明确的问题特征。
减少参数的数量似乎是标准化声带功能分析所必需的。这可能会提高来自不同研究的研究结果的可比性。