首页> 外文会议>IEEE International Conference on Bioinformatics and Bioengineering >Identification of Cerebellar Dysarthria with SISO Characterisation
【24h】

Identification of Cerebellar Dysarthria with SISO Characterisation

机译:用SISO鉴定小脑构音障碍

获取原文

摘要

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:构音障碍的定量鉴定在其严重性分类中起主要作用。本文定量分析了小脑构音障碍的几个组成部分。本研究中描述的方法将通过系统分析扩展到其他类型的构音障碍。在我们的研究中,语音产生模型的特征是二阶单输入单输出(SISO),线性,时不变(LTI)系统。提出了对动态异常和非动态异常对象的阻尼比和共振频率行为的比较研究。使用主成分分析(PCA)技术对结果进行进一步分析,以强调变化并发现所选特征中的强模式。还强调了一些其他相关因素(如衰减时间和Q因子)的影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号