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在老年成年人中快速分析噪音

Yi Shen¹, Erik A Petersen¹, Stephen T Neely²

¹Department of Speech and Hearing Sciences, University of Washington, Seattle, Washington, USA.

Ear and hearing

|January 27, 2026

概括

快速分类声量缩放 (qCLS) 程序在5分钟内提供可靠的声量估计. 这种高效的方法来评估噪音增长显示出与既定技术的良好一致.

科学领域:

听力学听力学是指听力学.
精神声学是一种精神声学.
听力科学听力科学

背景情况:

有效的声音强度评估对于个性化的听力设备信号处理至关重要.
个别听力特征需要量身定制的听力学解决方案.
快速分类声量缩放 (qCLS) 程序旨在高效地估计声量增长.

研究的目的:

评估 qCLS 程序的短期测试复试可靠性.
评估qCLS与现有的噪音评估方法之间的一致性.
验证qCLS以估计在广泛的频率范围内声音的增长.

主要方法:

实验1:在41名老年人 (100次试验,约5分钟) 中使用qCLS评估声音的增长.
实验2:在10名成年人中,比较了qCLS (100项试验) 与自适应分类大声度计量 (ACALOS,300项试验).
参与者为各种频率和级别的纯色调刺激提供了分类的响度等级.

主要成果:

实验1显示测试和重新测试之间的类别界限的平均绝对偏差为6.3dB.
实验2显示qCLS和ACALOS之间的平均绝对偏差为5.1dB.
在100个试验中,qCLS表现出令人满意的测试重复测试可靠性.

结论:

qCLS程序在大约5分钟内提供可靠的声音增长估计.
qCLS的结果与已建立的ACALOS程序的结果保持一致.
这种方法支持高效,个性化的听力学管理.

关键词:

适应性程序是一种适应性程序.分类的声音度量缩放.声音的强度声音的强度

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