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Tests of human auditory temporal resolution: Simulations of Bayesian threshold estimation for auditory gap detection
Shuji Mori1, Yuto Murata2, Takashi Morimoto3
1Department of Informatics, Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka 819-0395, Japan.
Abstract:
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.
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