Department of Informatics, Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka 819-0395, Japan.
Department of Informatics, Graduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka 819-0395, Japan.
JASA Express Lett. 2024 Sep 1;4(9). doi: 10.1121/10.0028501.
In an attempt to develop tests of auditory temporal resolution using gap detection, we conducted computer simulations of Zippy Estimation by Sequential Testing (ZEST), an adaptive Bayesian threshold estimation procedure, for measuring gap detection thresholds. The results showed that the measures of efficiency and precision of ZEST changed with the mean and standard deviation (SD) of the initial probability density function implemented in ZEST. Appropriate combinations of mean and SD values led to efficient ZEST performance; i.e., the threshold estimates converged to their true values after 10 to 15 trials.
为了开发使用间隙检测的听觉时间分辨率测试，我们使用顺序测试的 Zippy 估计（Zippy Estimation by Sequential Testing，ZEST）进行了计算机模拟，这是一种自适应贝叶斯阈值估计过程，用于测量间隙检测阈值。结果表明，ZEST 的效率和精度度量随 ZEST 中实施的初始概率密度函数的均值和标准差（SD）而变化。均值和 SD 值的适当组合可实现高效的 ZEST 性能；即，阈值估计在 10 到 15 次试验后收敛到其真实值。
