Department of Cognitive Sciences, University of California, Irvine, 3151 Social Science Plaza, Irvine, California 92687-5100, USA.
J Acoust Soc Am. 2013 Aug;134(2):1134-45. doi: 10.1121/1.4812856.
A Bayesian adaptive procedure for estimating the auditory-filter shape was proposed and evaluated using young, normal-hearing listeners at moderate stimulus levels. The resulting quick-auditory-filter (qAF) procedure assumed the power spectrum model of masking with the auditory-filter shape being modeled using a spectrally symmetric, two-parameter rounded-exponential (roex) function. During data collection using the qAF procedure, listeners detected the presence of a pure-tone signal presented in the spectral notch of a noise masker. Dependent on the listener's response on each trial, the posterior probability distributions of the model parameters were updated, and the resulting parameter estimates were then used to optimize the choice of stimulus parameters for the subsequent trials. Results showed that the qAF procedure gave similar parameter estimates to the traditional threshold-based procedure in many cases and was able to reasonably predict the masked signal thresholds. Additional measurements suggested that occasional failures of the qAF procedure to reliably converge could be a consequence of incorrect responses early in a qAF track. The addition of a parameter describing lapses of attention reduced the likelihood of such failures.
提出了一种贝叶斯自适应方法来估计听觉滤波器形状，并用中等刺激水平的年轻正常听力听众进行了评估。所得到的快速听觉滤波器 (qAF) 方法假设掩蔽的功率谱模型，使用谱对称的、两个参数的圆形指数 (roex) 函数对听觉滤波器形状进行建模。在使用 qAF 方法进行数据收集时，听众检测在噪声掩蔽器的频谱陷波中呈现的纯音信号的存在。根据每个试验中听众的响应，更新模型参数的后验概率分布，然后使用所得参数估计值优化后续试验的刺激参数选择。结果表明，在许多情况下，qAF 方法给出的参数估计与传统的基于阈值的方法相似，并且能够合理地预测掩蔽信号阈值。其他测量结果表明，qAF 方法偶尔无法可靠收敛可能是由于 qAF 跟踪早期的错误响应所致。添加一个描述注意力不集中的参数可以降低这种失败的可能性。
