The CARFAC v2 Cochlear Model in Matlab, NumPy, and JAX
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866911855154298880 |
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| author | Lyon, Richard F. Schonberger, Rob Slaney, Malcolm Velimirović, Mihajlo Yu, Honglin |
| author_facet | Lyon, Richard F. Schonberger, Rob Slaney, Malcolm Velimirović, Mihajlo Yu, Honglin |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_17490 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The CARFAC v2 Cochlear Model in Matlab, NumPy, and JAX Lyon, Richard F. Schonberger, Rob Slaney, Malcolm Velimirović, Mihajlo Yu, Honglin Audio and Speech Processing Sound Signal Processing 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. |
| title | The CARFAC v2 Cochlear Model in Matlab, NumPy, and JAX |
| topic | Audio and Speech Processing Sound Signal Processing |
| url | https://arxiv.org/abs/2404.17490 |