Abstract
The open-source CARFAC (Cascade of Asymmetric Resonators with Fast-Acting Compression) cochlear model is upgraded to version 2, with improvements to the Matlab implementation, and with new Python/NumPy and JAX implementations -- but C++ version changes are still pending. One change addresses the DC (direct current, or zero frequency) quadratic distortion anomaly previously reported; another reduces the neural synchrony at high frequencies; the others have little or no noticeable effect in the default configuration. A new feature allows modeling a reduction of cochlear amplifier function, as a step toward a differentiable parameterized model of hearing impairment. In addition, the integration into the Auditory Model Toolbox (AMT) has been extensively improved, as the prior integration had bugs that made it unsuitable for including CARFAC in multi-model comparisons.
Abstract (translated)
开源的CARFAC（级联非对称谐波压缩）耳模型的2.0版本升级包括对Matlab实现的改进和新Python/NumPy和JAX实现的开发，但对于C++版本的变化仍然有待处理。其中一个变化解决了之前报告的DC（直接电流，零频率）平方失真异常；另一个减少了高频中的神经同步；其他的变化对默认配置来说没有太大的影响。一个新的功能允许建模为听觉放大器功能减少的步骤，作为实现可导参数化听力损伤模型的一个进展。此外，对Auditory Model Toolbox（AMT）的集成也有了很大的改进，因为之前集成的错误使得它不适合包括CARFAC在多模态比较中。
URL
https://arxiv.org/abs/2404.17490
