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

机译:喉部病变,唇Lip裂和帕金森氏病的声带和发音分析

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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:这项研究考虑了发声和发音措施,以模拟由三种不同病理学产生的语音障碍:喉部病理学(LP),唇left裂(CLP)和帕金森氏病(PD)。考虑了不同的语音任务,包括持续的元音发声,孤立的单词和阅读的文本。在ROC曲线下的面积(AUC)方面,所获得的准确度取决于病理情况,在55.7和99.2之间。结果表明,发声特征适合于建模LP。但是,对于CLP和PD而言,连接措施似乎提供了有关移动和控制声道连接器的问题的更多信息。这项工作是朝着开发用于自动区分不同声音障碍的方法学迈出的一步。

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