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A revised method of calculating auditory exciation patterns and loudness for time-varying sounds

机译:一种修正的计算随时间变化的声音的听觉激励模式和响度的方法

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Previously we described a method of calculating auditory excitation patterns and loudness for steady sounds, based on a nonlinear filterbank. Here the method is extended to deal with time-varying sounds. Firstly, the input waveform is transformed to short-term spectrum by a structure with six FFTs, which using longer signal segments for low frequencies and shorter segments for higher frequencies. Secondly, the excitation patterns are calculated from the short-term spectrum, and the summation of the excitation gives a value for the instantaneous loudness. Thirdly, the short-term loudness is calculated from the instantaneous loudness using an averaging mechanism similar to an automatic gain control system, with attack and release times. Finally the long-term loudness is calculated from the short-term loudness using a similar averaging mechanism, but with longer attack and release time. The method gives good predictions of loudness for both steady sounds and time-varying sounds.
机译:先前,我们描述了一种基于非线性滤波器组的计算稳定声音的听觉激励模式和响度的方法。在这里,该方法被扩展为处理随时间变化的声音。首先,通过具有六个FFT的结构将输入波形转换为短期频谱,其中FFT将较长的信号段用于低频,将较短的信号段用于高频。其次,从短期频谱计算出激励模式,激励的总和给出瞬时响度的值。第三,使用类似于自动增益控制系统的平均机制,根据瞬时响度来计算短期响度,并具有起音和释放时间。最终,使用类似的平均机制从短期响度计算长期响度,但是具有更长的起音和释放时间。该方法可以很好地预测稳定声音和时变声音的响度。

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