Wischhoff Owen P, Smereka Katerina A, Johnson Colbey, Bienhold Grayson J, Chumbley Taylor J, Tarazi Maiwand M, Jiang Jack
University of Wisconsin-Madison, Madison, WI.
University of Wisconsin-Madison, Madison, WI.
J Voice. 2024 Oct 22. doi: 10.1016/j.jvoice.2024.09.045.
This paper aimed to create a voice type component profile (VTCP) to model a glottal gap during phonation.
VTCP was generated from phonation from eight excised canine larynges with induced posterior glottal gaps. Glottal gaps were induced using metal shims with widths ranging from 0.5 to 3.5 mm, in 0.5 mm increments. Acoustic data was collected under each gap condition, and a custom MATLAB software was used to analyze the data for VTCP. The trends of each VTC were analyzed with changes in glottal gap size.
Increasing glottal gap led to a decrease in VTC1 and an increase in VTC4. Post-Hoc Tukey tests found that for both VTC4 and VTC1, The 1.5 mm group differed from the 2, 2.5, and 3.5 mm group. Additionally, in both VTC1 and VTC4 there was a significant difference between both the control and 0.5mm shim groups and the 2, 2.5, 3, and 3.5 mm shim groups. VTC2 followed a similar trend as VTC1. Average VTC3 was highest at control, and the 1, 2, 2.5, 3, and 3.5 mm shim groups significantly differed from the control group. Kendall correlation tests showed that there was a significant weak inverse relationship with glottal gap size and VTC1, VTC2, and VTC3 and a significant weak positive correlational relationship with glottal gap size and VTC4.
As glottal gap width increased, phonation exhibited increased turbulence associated with increased breathiness. Periodicity decreased as turbulence increased. Increased turbulence was shown to be derived from the glottal level. The size of the induced glottal gap was the cause of the turbulent signals. The study highlights the potential of VTCP analysis in detecting subtle changes in glottal closure and suggests avenues for further research in diagnosing voice disorders.
本文旨在创建一种嗓音类型成分剖面图(VTCP),以模拟发声过程中的声门间隙。
VTCP由八个切除的犬喉发声产生,这些犬喉诱导出了后部声门间隙。使用宽度范围为0.5至3.5毫米、增量为0.5毫米的金属垫片诱导声门间隙。在每种间隙条件下收集声学数据,并使用定制的MATLAB软件分析数据以生成VTCP。分析了每个VTCP随声门间隙大小变化的趋势。
声门间隙增大导致VTCP1降低,VTCP4升高。事后Tukey检验发现,对于VTCP4和VTCP1,1.5毫米组与2、2.5和3.5毫米组不同。此外,在VTCP1和VTCP4中,对照组与0.5毫米垫片组以及2、2.5、3和3.5毫米垫片组之间均存在显著差异。VTCP2与VTCP1的趋势相似。平均VTCP3在对照组时最高,1、2、2.5、3和3.5毫米垫片组与对照组有显著差异。肯德尔相关性检验表明,声门间隙大小与VTCP1、VTCP2和VTCP3之间存在显著的弱负相关关系,与VTCP4之间存在显著的弱正相关关系。
随着声门间隙宽度增加,发声表现出与呼吸声增加相关的湍流增加。随着湍流增加,周期性降低。增加的湍流显示源自声门水平。诱导声门间隙的大小是湍流信号的原因。该研究突出了VTCP分析在检测声门闭合细微变化方面的潜力,并为语音障碍诊断的进一步研究提供了途径。