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Identification of Cerebellar Dysarthria with SISO Characterisation

机译:具有SISO表征的小脑缺陷的鉴定

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Quantitative identification of dysarthria plays a major role in the classification of its severity. This paper quantitatively analyses several components of cerebellar dysarthria. The methodology described in this study will be extended to other types of dysarthria via systematic analysis. The speech production model is characterized as a second-order single-input and single-output (SISO), linear, time-invariant (LTI) system in our study. A comparative study on the behavior of the damping ratio and resonant frequency for dysarthric and non-dysarthric subjects is presented. The results are further analyzed using the Principal component analysis (PCA) technique to emphasize the variation and uncover strong patterns in the selected features. The effects of some other related factors like decay time and Q-factor are also highlighted.
机译:讨厌的定量鉴定在严重程度的分类中发挥着重要作用。本文定量分析了小脑缺陷的几个成分。本研究中描述的方法通过系统分析将扩展到其他类型的讨厌。语音生产模型的特征在于我们研究中的二阶单输入和单输出(SISO),线性,时间不变(LTI)系统。介绍了缺损率和非缺血对象的阻尼比和谐振频率的行为的比较研究。使用主成分分析(PCA)技术进一步分析结果,以强调所选特征中的变化并揭示强大的模式。还突出了一些其他相关因素的影响,如衰减时间和Q系列。

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