Department of Biomedical Engineering, Medical School, Tsinghua University, Beijing 100084, China.
Hear Res. 2011 Dec;282(1-2):204-15. doi: 10.1016/j.heares.2011.08.001. Epub 2011 Aug 10.
A new method for calculating auditory excitation patterns and loudness for steady sounds is described. The method is based on a nonlinear filterbank in which each filter is the sum of a broad passive filter and a sharp active filter. All filters have a rounded-exponential shape. For each center frequency (CF), the gain of the active filter is controlled by the output of the passive filter. The parameters of the model were derived from large sets of previously published notched-noise masking data obtained from human subjects. Excitation patterns derived using the new filterbank include the effects of basilar membrane compression. Loudness can be calculated as the area under the excitation pattern when plotted in intensity-like units on an ERB(N)-number (Cam) scale; no transformation from excitation to specific loudness is required. The method predicts the standard equal-loudness contours and loudness as a function of bandwidth with good accuracy. With some additional assumptions, the method also gives reasonably accurate predictions of partial loudness.
描述了一种计算稳态声音听觉激励模式和响度的新方法。该方法基于一个非线性滤波器组，其中每个滤波器是宽的被动滤波器和尖锐的主动滤波器的和。所有滤波器均具有圆形指数形状。对于每个中心频率（CF），主动滤波器的增益由被动滤波器的输出控制。该模型的参数是从大量先前发表的人耳获得的带通噪声掩蔽数据中推导出来的。使用新滤波器组得出的激励模式包括基底膜压缩的影响。响度可以计算为在 ERB（N）-数（Cam）标度上以强度单位绘制激励模式时的面积；不需要从激励到特定响度的转换。该方法可以很好地准确预测标准等响曲线和带宽的响度。在某些额外的假设下，该方法还可以合理准确地预测部分响度。
