In this section
@article{Doire:2017:10.1121/1.4979580,
author = {Doire, CSJ and Brookes, DM and Naylor, PA},
doi = {10.1121/1.4979580},
journal = {Journal of the Acoustical Society of America},
pages = {2501--2512},
title = {Robust and efficient Bayesian adaptive psychometric function estimation},
url = {http://dx.doi.org/10.1121/1.4979580},
volume = {141},
year = {2017}
}
TY - JOUR
AB - The efficient measurement of the threshold and slope of the psychometric function (PF) is an important objective in psychoacoustics. This paper proposes a procedure that combines a Bayesian estimate of the PF with either a look one-ahead or a look two-ahead method of selecting the next stimulus presentation. The procedure differs from previously proposed algorithms in two respects: (i) it does not require the range of possible PF parameters to be specified in advance and (ii) the sequence of probe signal-to-noise ratios optimizes the threshold and slope estimates at a performance level, , that can be chosen by the experimenter. Simulation results show that the proposed procedure is robust and that the estimates of both threshold and slope have a consistently low bias. Over a wide range of listener PF parameters, the root-mean-square errors after 50 trials were ∼1.2 dB in threshold and 0.14 in log-slope. It was found that the performance differences between the look one-ahead and look two-ahead methods were negligible and that an entropy-based criterion for selecting the next stimulus was preferred to a variance-based criterion.
AU - Doire,CSJ
AU - Brookes,DM
AU - Naylor,PA
DO - 10.1121/1.4979580
EP - 2512
PY - 2017///
SN - 0001-4966
SP - 2501
TI - Robust and efficient Bayesian adaptive psychometric function estimation
T2 - Journal of the Acoustical Society of America
UR - http://dx.doi.org/10.1121/1.4979580
UR - http://hdl.handle.net/10044/1/45766
VL - 141
ER -
Speech and Audio Processing Lab
CSP Group, EEE Department
Imperial College London
Exhibition Road, London, SW7 2AZ, United Kingdom