Measuring the Dysphonia Severity Index (DSI) in the Program Praat
Measuring the Dysphonia Severity Index (DSI) in the Program Praat
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DOI：
10.1016/j.jvoice.2017.01.002
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发表时间：
2017-09-01
期刊：
影响因子：
2.2
通讯作者：
De Bodt, Marc
中科院分区：
文献类型：
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作者：
Maryn, Youri;Morsomme, Dominique;De Bodt, Marc
背景资料。最初的发音困难严重程度指数(即，DSI)在单个数字中权衡并结合了四个语音标记，以确定临床上发音困难的等级：抖动百分比(来自多维语音程序；来自新泽西州蒙特维尔的KayPentax Corp.)、最软的强度和最高的基频(来自Voice Range Profile；KayPentax Corp.)，以及最长发声时间。然而，为了更广泛地应用，在PRAAT计划中实施DSI(荷兰阿姆斯特丹大学语音科学研究所的Paul Boersma和David Weenink)将对所有语音临床医生有利。因此，提出的项目被设计(1)开发这样的PRAAT应用程序和(B)测试其并发有效性。在三个不同的临床语音中心，对总共49名受试者进行了原始DSI的四个语音标记以及PRAAT中的另外十个语音标记。实施了交叉研究设计，以平衡可能的运动影响。首先，应用逐步多元线性回归方法建立了原始DSI的PRAAT预测因子最佳组合的统计模型。用相关统计方法比较Praat‘s DSI与原DSI的差异。这两个DSI版本具有很强的相关性。因此，我们编写了一个自定义脚本，用于在Praat.结论中自动确定DSI。有了这个脚本，每个语音临床医生都可以很容易地在Praat程序中确定DSI。
Background. The original Dysphonia Severity Index (ie, DSI) weighs and combines four voice markers in a single number to size dysphonia gradation in the clinic: percent jitter (from Multi-Dimensional Voice Program; KayPENTAX Corp., Montvale, NJ), softest intensity and highest fundamental frequency (both from Voice Range Profile; KayPENTAX Corp.), and maximum phonation time. To be more generally applied, however, implementation of DSI in the program Praat (Paul Boersma and David Weenink, Institute for Phonetic Sciences, University of Amsterdam, The Netherlands) would be advantageous for all voice clinicians. The presented project was therefore designed (1) to develop such a Praat application and (b) to test its concurrent validity.Methods. The four voice markers for the original DSI, as well as ten additional voice markers in Praat, were administered on a total of 49 subjects in three different clinical voice centers. A crossover research design was implemented to counterbalance for possible exercise effects. First, stepwise multiple linear regression was applied to build a statistical model with the best combination of Praat predictors for the original DSI. Second, correlation statistics were applied to compare Praat's DSI with the original DSI.Results. Both DSI versions correlated strongly. A custom script was therefore written for automated DSI determination in Praat.Conclusion. With this script, every voice clinician can easily determine DSI in the Praat program.