Temporal and spatial variability in speakers with Parkinson's Disease and Friedreich's Ataxia.

Andrew Anderson, Anja Lowit, Peter Howell
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引用次数: 0

Abstract

Speech variability in groups of speakers with Parkinson's disease (PD) and with Friedreich's ataxia was compared with healthy controls. Speakers repeated the same phrase 20 times at one of two rates (fast or habitual). A non-linear analysis of variability was performed which used some of the principles behind the spatio-temporal index (STI). The STI usually employs variation in lip displacement over repetitions of the same utterance and a linear analysis of such signals is conducted to represent the combined variation in spatial and temporal control. When working with patients, audio measures (here we used speech energy) are preferred over kinematics ones as they are minimally disruptive to speech. Non-linear methods allow spatial variability to be estimated separately from temporal variability. The results are tentatively interpreted as showing that PD speakers were distinguished from healthy control speakers in spatial variability and ataxic speakers were distinguished from controls in temporal variability. These findings are consistent with the speech symptoms reported for these disorders. We conclude that the non-linear analysis using the speech energy measure is worth investigating further as it is potentially revealing of the differences underlying these two pathologies.

帕金森病和弗里德里希共济失调患者说话的时间和空间变异性。
我们将帕金森病(PD)患者和弗里德里希共济失调患者与健康对照组的说话者的语音变异性进行了比较。说话者以两种速度(快速或习惯)之一重复同一短语 20 次。对变异性进行了非线性分析,其中使用了时空指数(STI)的一些原理。时空指数通常利用重复同一语句时嘴唇位移的变化,并对此类信号进行线性分析,以表示空间和时间控制的综合变化。与患者一起工作时,音频测量(这里我们使用语音能量)比运动学测量更受欢迎,因为它们对语音的干扰最小。非线性方法可将空间变异性与时间变异性分开估算。结果初步解释为,在空间变异性方面,患有帕金森病的人与健康对照组的人有所区别;在时间变异性方面,患有共济失调的人与对照组的人有所区别。这些结果与所报告的这些疾病的言语症状一致。我们的结论是,使用语音能量测量的非线性分析值得进一步研究,因为它有可能揭示这两种病症背后的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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