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自动咔哒声可区分内收性喉痉挛和肌肉紧张性发音障碍。

Automated Creak Differentiates Adductor Laryngeal Dystonia and Muscle Tension Dysphonia.

机构信息

Department of Speech, Language, and Hearing Sciences, Boston University, Boston, Massachusetts, U.S.A.

Department of Otolaryngology - Head and Neck Surgery, University of Texas Southwestern Medical Center, Dallas, Texas, U.S.A.

出版信息

Laryngoscope. 2023 Oct;133(10):2687-2694. doi: 10.1002/lary.30588. Epub 2023 Jan 30.

DOI:10.1002/lary.30588
PMID:36715109
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10387123/
Abstract

OBJECTIVE

The purpose of this study was to determine whether automated estimates of vocal creak would differentiate speakers with adductor laryngeal dystonia (AdLD) from speakers with muscle tension dysphonia (MTD) and speakers without voice disorders.

METHODS

Sixteen speakers with AdLD, sixteen speakers with MTD, and sixteen speakers without voice disorders were recorded in a quiet environment reading aloud a standard paragraph. An open-source creak detector was used to calculate the percentage of creak (% creak) in each of the speaker's six recorded sentences.

RESULTS

A Kruskal-Wallis one-way analysis of variance revealed a statistically significant effect of group on the % creak with a large effect size. Pairwise Wilcoxon tests revealed a statistically significant difference in % creak between speakers with AdLD and controls as well as between speakers with AdLD and MTD. Receiver operating characteristic curve analyses indicated that % creak differentiated AdLD from both controls and speakers with MTD with high sensitivity and specificity (area under the curve statistics of 0.94 and 0.86, respectively).

CONCLUSION

Percentage of creak as calculated by an automated creak detector may be useful as a quantitative indicator of AdLD, demonstrating the potential for use as a screening tool or to aid in a differential diagnosis.

LEVEL OF EVIDENCE

3 Laryngoscope, 133:2687-2694, 2023.

摘要

目的

本研究旨在确定自动估计声门摩擦音能否区分内收性喉肌张力障碍(AdLD)患者、肌肉紧张性发声障碍(MTD)患者和无嗓音障碍患者。

方法

16 名 AdLD 患者、16 名 MTD 患者和 16 名无嗓音障碍患者在安静环境中朗读标准段落。使用开源摩擦音检测器计算每位患者 6 个录音句子中的摩擦音百分比(% creak)。

结果

Kruskal-Wallis 单向方差分析显示,组间% creak 存在统计学显著差异,效应量较大。Wilcoxon 配对检验显示,AdLD 患者与对照组以及 AdLD 患者与 MTD 患者之间的% creak 存在统计学显著差异。受试者工作特征曲线分析表明,% creak 可区分 AdLD 患者与对照组和 MTD 患者,具有较高的灵敏度和特异性(曲线下面积分别为 0.94 和 0.86)。

结论

自动摩擦音检测器计算的摩擦音百分比可能是 AdLD 的有效定量指标,具有作为筛查工具或辅助鉴别诊断的潜力。

证据水平

3 Laryngoscope, 133:2687-2694, 2023.

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