Explaining two‐tone suppression and forward masking data using a compressive gammachirp auditory filterbank
Explaining two‐tone suppression and forward masking data using a compressive gammachirp auditory filterbank
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DOI：
10.1121/1.4777535
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发表时间：
2005-04
影响因子：
2.4
通讯作者：
T. Irino;R. Patterson
中科院分区：
文献类型：
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作者：
T. Irino;R. Patterson
从听觉生理学中引入伽马通滤波器，以提供roex听觉滤波器的时域版本，并为听觉感知模型开发逼真的听觉滤波器组。伽玛achirp听觉滤波器的开发扩展域的伽玛通听觉滤波器和模拟的变化，发生在刺激水平的变化，在过滤器的形状。最近，gammachirp被扩展到定量解释脉冲响应的水平无关频率滑动和大量的同时掩蔽数据。虽然这可以用静态滤波器来实现，但我们使用了时变滤波器，其有源组件是IIR非对称补偿滤波器。在这种情况下，有必要估计控制电平依赖性的信号电平，并解释电平测量如何产生在前向掩蔽实验中观察到的阈值的时间过程。在这次演讲中，我们提出了一种新的时变压缩伽马线性听觉滤波器组的实现，以定性地解释双音抑制和前向掩蔽数据。我们还将表明，该系统可以resynthesize压缩语音的声音，因此提供了一个gammaChirp分析/合成滤波器组的基础。[Work由GASR（B）（2）No. 15300061，JSPS支持。]
The gammatone filter was imported from auditory physiology to provide a time‐domain version of the roex auditory filter and enable the development of a realistic auditory filterbank for models of auditory perception. The gammachirp auditory filter was developed to extend the domain of the gammatone auditory filter and simulate the changes in filter shape that occur with changes in stimulus level. Recently, the gammachirp was extended to explain the level‐independent frequency glide of the impulse response and a large volume of simultaneous masking data quantitatively. Although this could be implemented with a static filter, we used a time‐varying filter whose active component is an IIR asymmetric compensation filter. In this case, it is necessary to estimate the signal level that controls the level dependency, and explain how the level measurement produces the time course of threshold observed in forward masking experiments. In this talk, we propose a new implementation of the time‐varying, compressive gammachirp auditory filterbank to explain two‐tone suppression and forward masking data qualitatively. We will also show that the system can resynthesize compressed speech sounds and so provide the basis for a gammachirp analysis/synthesis filterbank. [Work supported by GASR(B)(2) No. 15300061, JSPS.]