If you use CARFAC, or want an efficient and realistic cochlear model that you can back-propagate through, you might find these updates useful, especially the new Python/JAX version.
This paper on arXiv describes the changes, bug fixes, and new v2 versions:
The CARFAC v2 Cochlear Model in Matlab, NumPy, and JAX
Richard F. Lyon, Rob Schonberger, Malcolm Slaney, Mihajlo Velimirović, Honglin Yu
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.
Dick