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Phonation and Articulation Analyses in Laryngeal Pathologies, Cleft Lip and Palate, and Parkinson's Disease

机译:喉部病理,唇腭裂和帕金森病的发声和清晰度分析

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This study considers phonation and articulation measures to model voice disorders produced by three different pathologies: Laryngeal pathologies (LP), cleft lip and palate (CLP), and Parkinson's disease (PD). Different speech tasks are considered including sustained vowel phonations, isolated words, and read texts. The obtained accuracies, in terms of the area under the ROC curve (AUC), range between 55.7 and 99.2 depending on the pathology. The results suggest that phonation features are appropriate to model LP; however, for the case of CLP and PD, it seems like the articulation measures provide more information about the problems in moving and controlling the articulators of the vocal tract. This work is a step towards the development of methodologies for the automatic discrimination among different voice disorders.
机译:本研究考虑了通过三种不同病理学产生的语音障碍的发声和关节措施:喉部病理(LP),裂隙唇和口感(CLP)和帕金森病(PD)。不同的语音任务被认为包括持续的元音侦听,孤立的单词和读取文本。就ROC曲线(AUC)下的面积而言,所获得的精度,范围为55.7和99.2,这取决于病理学。结果表明,发声功能适合于LP;然而,对于CLP和PD的情况,似乎铰接措施提供了有关移动和控制声带铰接器的问题的更多信息。这项工作是发展不同语音障碍之间自动歧视方法的一步。

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