Prediction of non-linear amplification using different loudness scaling tests

G. Keidser
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引用次数: 3

Abstract

Frequency-specific loudness data are widely used in procedures for fitting non-linear hearing aids, with each procedure using different methods to obtain information about a person's loudness perception. There has been some suggestion that due to differences in methodology different loudness tests result in different prediction of the non-linear amplification when applied according to the same fitting rationale. However, this has not been empirically verified. In this paper the inverse compression ratios prescribed based on a pure loudness normalisation technique and loudness data measured with two different categorical loudness scaling tests were compared for 20 test ears. The data showed that the two loudness tests produced significantly different prescriptions for non-linear amplification and that the discrepancy in prescription was non-linearly related to hearing threshold level with the greatest discrepancy found for cases with moderate loss. Differences in methodology used to obtain the loudness data are argued to be the most likely reason for the measured discrepancy in prescription. Up to 50% of a large variability in data across hearing threshold levels was explained by individual participant factors, suggesting that the interpretation of the two loudness tests varied across participants. The results imply that any fitting rationale based on frequency-specific loudness data is only valid for the test conditions in which the loudness data are obtained, and a hearing aid fitting based on frequency-specific loudness data should be verified.
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用不同响度比例尺测试预测非线性放大
频率特定的响度数据广泛用于非线性助听器的装配过程,每个过程使用不同的方法来获取有关人的响度感知的信息。有人认为,由于方法的不同,不同的响度测试在采用相同的拟合原理时,会导致非线性放大的预测不同。然而,这还没有得到实证的证实。本文比较了基于纯响度归一化技术的反压缩比和用两种不同的响度分级试验测量的20只测试耳的响度数据。数据显示,两种响度测试对非线性放大的处方差异显著,处方差异与听力阈值水平呈非线性相关,其中中等损失的差异最大。用于获得响度数据的方法差异被认为是处方测量差异的最可能原因。在听力阈值水平的数据中,高达50%的大变异性是由个体参与者因素解释的,这表明两个响度测试的解释在参与者之间是不同的。结果表明,任何基于特定频率响度数据的拟合原理仅对获得响度数据的测试条件有效,基于特定频率响度数据的助听器拟合都应进行验证。
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