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多语言噪声中的数字(DIN)测试:开发与评估。

The multilingual digits-in-noise (DIN) test: development and evaluation.

作者信息

Masalski Marcin, Morawski Krzysztof

机构信息

Department and Clinic of Otolaryngology Head and Neck Surgery, Faculty of Medicine, Wroclaw Medical University, Wrocław, Poland.

Department of Biomedical Engineering, Faculty of Fundamental Problems of Technology, Wroclaw University of Science and Technology, Wrocław, Poland.

出版信息

Int J Audiol. 2024 Aug 29:1-11. doi: 10.1080/14992027.2024.2397068.

Abstract

OBJECTIVE

To develop a methodologically uniform digits-in-noise (DIN) test in 17 different languages.

DESIGN

The DIN test was developed for Android devices as an extension to the open-access Hearing Test app, available on the Google Play store. It utilised professionally recorded female speech, speech-shaped noise, a digit scoring method and a variable step size. The test was adaptively optimised and evaluated as the results of tests taken online by users of the app became available.

STUDY SAMPLE

Optimisation using 35,534 ears, evaluation using 6012 ears.

RESULTS

Optimisation improved the slopes of the psychometric functions for all languages by an average of 6.8%/dB. Evaluation included calculation of normative speech reception thresholds (SRTs) and estimation of test-retest standard deviations. Normative values for SRTs ranged from -14.2 dB SNR (95% CI -14.3 to -14.0) for Chinese to -11.2 dB SNR (95% CI -11.3 to -11.1) for Japanese, with reliability estimates ranging from 0.48 dB (95% CI 0.36-0.64) for Portuguese to 0.91 dB (95% CI 0.73-1.21) for Romanian.

CONCLUSIONS

The optimisation of each language version was confirmed by the improvement in the slopes of the psychometric functions. The normative values obtained from the test evaluation were in agreement with literature data.

TRIAL REGISTRATION

Science Support Centre of Wroclaw Medical University BW-59/2020.

摘要

目的

开发一种在17种不同语言中方法统一的噪声中数字(DIN)测试。

设计

DIN测试是作为对谷歌应用商店中开放获取的听力测试应用程序的扩展,为安卓设备开发的。它使用专业录制的女性语音、语音形状噪声、数字评分方法和可变步长。随着应用程序用户在线测试结果的获得,对测试进行了自适应优化和评估。

研究样本

使用35534只耳朵进行优化,使用6012只耳朵进行评估。

结果

优化使所有语言的心理测量函数斜率平均提高了6.8%/分贝。评估包括计算标准言语接受阈(SRT)和重测标准差估计。SRT的标准值范围从中文的-14.2 dB SNR(95%CI -14.3至-14.0)到日语的-11.2 dB SNR(95%CI -11.3至-11.1),可靠性估计范围从葡萄牙语的0.48 dB(95%CI 0.36 - 0.64)到罗马尼亚语的0.91 dB(95%CI 0.73 - 1.21)。

结论

心理测量函数斜率的改善证实了每个语言版本的优化。测试评估获得的标准值与文献数据一致。

试验注册

弗罗茨瓦夫医科大学科学支持中心BW - 59/2020。

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