Krueger Melanie, Schulte Michael, Brand Thomas, Holube Inga
Hörzentrum Oldenburg, Marie-Curie-Straße 2, D-26129 Oldenburg, Germany.
Medizinische Physik, Department für Medizinische Physik und Akustik, Fakultät VI, Carl-von-Ossietzky Universität Oldenburg, D-26111 Oldenburg, Germany.
J Acoust Soc Am. 2017 Jun;141(6):4680. doi: 10.1121/1.4986938.
An adaptive procedure for controlling the signal-to-noise ratio (SNR) when rating the subjectively perceived listening effort (Adaptive Categorical Listening Effort Scaling) is described. For this, the listening effort is rated on a categorical scale with 14 steps after the presentation of three sentences in a background masker. In a first phase of the procedure, the individual SNR range for ratings from "no effort" to "extreme effort" is estimated. In the following phases, stimuli with randomly selected SNRs within this range are presented. One or two linear regression lines are fitted to the data describing subjective listening effort as a function of SNR. The results of the adaptive procedure are independent of the initial SNR. Although a static procedure using fixed, predefined SNRs produced similar results, the adaptive procedure avoided lengthy pretests for suitable SNRs and limited possible bias in the rating procedures. The adaptive procedure resolves individual differences, as well as differences between maskers. Inter-individual standard deviations are about three times as large as intra-individual standard deviations and the intra-class correlation coefficient for test-retest reliability is, on average, 0.9.
本文描述了一种在评估主观感知的聆听努力程度时控制信噪比（SNR）的自适应程序（自适应分类聆听努力程度量表）。为此，在背景掩蔽音中呈现三个句子后，按照14个等级的分类量表对聆听努力程度进行评级。在该程序的第一阶段，估计从“无努力”到“极度努力”评级的个体信噪比范围。在接下来的阶段，呈现此范围内随机选择信噪比的刺激。将一条或两条线性回归线拟合到描述主观聆听努力程度与信噪比函数关系的数据上。自适应程序的结果与初始信噪比无关。尽管使用固定的、预定义信噪比的静态程序产生了类似的结果，但自适应程序避免了对合适信噪比进行冗长的预测试，并限制了评级程序中可能存在的偏差。自适应程序解决了个体差异以及掩蔽音之间的差异。个体间标准差约为个体内标准差的三倍，重测信度的组内相关系数平均为0.9。
