短时实验室语音测试+4天监测即可准确评估声音损伤风险
Effects of Recording Condition and Number of Monitored Days on Discriminative Power of the Daily Phonotrauma Index
- 用实验室短语音任务和少量日间监测数据训练声带损伤指数
- 4天监测数据已达73.4%分类准确率，7天提升至75.0%
- 适合临床快速筛查声音过度使用人群
目的：每日声损伤指数（DPI）可量化与音声过度使用相关的病理生理机制。本研究考察了是否可用短时实验室语音任务和少于七天的动态监测数据获得相近性能。方法：对134名患有声带性发声功能障碍（PVH）的女性及声带健康对照者，在两种条件下记录声学与颈部加速度信号：实验室中朗读彩虹段落并自发说话（在室数据），随后进行为期七天的日常监测（场外数据）。分别基于首两阶谐波幅度差（H1-H2）的标准差和颈部表面加速度幅度偏度，训练在室与场外的DPI模型。首先通过10折交叉验证评估两类模型的分类性能；其次量化监测天数对场外DPI分类准确率的影响。结果：在室条件下，彩虹段落朗读与自发说话的平均准确率分别为57.9%和48.9%，接近随机水平。场外DPI平均准确率达73.4%，效应量极大（Cohen's D = 1.8）。此外，场外准确率从1天的66.5%升至7天的75.0%，第4天后每增加一天准确率提升低于1个百分点。
原文摘要 · Abstract (English)
Objective: The Daily Phonotrauma Index (DPI) can quantify pathophysiological mechanisms associated with daily voice use in individuals with phonotraumatic vocal hyperfunction (PVH). Since DPI was developed based on week-long ambulatory voice monitoring, this study investigated if DPI can achieve comparable performance using (1) short laboratory speech tasks and (2) fewer than seven days of ambulatory data. Method: An ambulatory voice monitoring system recorded the vocal function/behavior of 134 females with PVH and vocally healthy matched controls in two different conditions. In the lab, the participants read the first paragraph of the Rainbow Passage and produced spontaneous speech (in-lab data). They were then monitored for seven days (in-field data). Separate DPI models were trained from in-lab and in-field data using the standard deviation of the difference between the magnitude of the first two harmonics (H1-H2) and the skewness of neck-surface acceleration magnitude. First, 10-fold cross-validation evaluated classification performance of in-lab and in-field DPIs. Second, the effect of the number of ambulatory monitoring days on the accuracy of in-field DPI classification was quantified. Results: The average in-lab DPI accuracy computed from the Rainbow passage and spontaneous speech were, respectively, 57.9% and 48.9%, which are close to chance performance. The average classification accuracy of in-field DPI was significantly higher with a very large effect size (73.4%, Cohens D = 1.8). Second, the average in-field DPI accuracy increased from 66.5% for one day to 75.0% for seven days, with the gain of including an additional day on accuracy dropping below 1 percentage point after 4 days.
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