[CF, decim_naps, naps, BM, ohc, agc] = lyon2024(input_waves, CF); [CF, decim_naps, naps, BM, ohc, agc, ihc_potential] = lyon2024(input_waves, CF);
input_waves | Audio signal sampled at the rate of CF.fs. Size: (time x ears). |
CF | Structure describing the model design and state. Usually, this is the output of lyon2024_design and lyon2024_init, see exp_lyon2024 for an example. |
CF | The updated CF structure, see lyon2024_design for more details. |
decim_naps | Neural activity patterns (NAPs) time-decimated by CF.seglen. |
naps | NAPs. Size: (time x frequency x ears). |
BM | Motion of the basilar membrane (BM) as the filter outputs before the inner hair cell (IHC) processing. |
ohc | Diagnosing internals. Meaning unclear. |
agc | Diagnosing internals. Meaning unclear. |
ihc_potential | IHC potential equivalent (unit unclear). |
lyon2024(..), as known as the CARFAC v2 model, is a model of the auditory periphery, reflecting the automatic-gain-control function of the auditory system and maintaining the time-domain zero-crossings depending on the signal level. It is built as a cascade of asymmetric resonators with fast-acting compression (CARFAC). This model a modification of lyon2011:
This model is licensed under the Apache License Version 2.0. Further usage details are provided in the in the AMT directory "licences".
R. F. Lyon. Cascades of two-pole–two-zero asymmetric resonators are good models of peripheral auditory function. The Journal of the Acoustical Society of America, 130(6), 2011. [ http ]
R. F. Lyon, R. Schonberger, M. Slaney, M. Velimirović, and H. Yu. The carfac v2 cochlear model in matlab, numpy, and jax. arXiv preprint arXiv:2404.17490, 2024.