outsig = king2019(insig,fs,basef) [outsig, fc, mfc, step] = king2019(insig,fs,varargin) [outsig, fc, mfc, step]= king2019(insig,fs,flow,fhigh,parameters)
king2019(insig,fs,basef) computes the internal representation around the frequency basef of the signal insig sampled with a frequency of fs Hz. outsig is a matrix of size [length fc mfc].
[outsig,fc,mfc,step]=king2019(...) additionally returns the centre frequencies of the filter bank and the center frequencies of the modulation filterbank, and 'steps' is a structure containing the intermediate model outputs.
The model consists of the following stages:
- a gammatone filter bank with 1-erb spaced filtes.
2. a compression (exponential or broken-stick) stage applied to each individual gammatone filter. In these stages is extremely relevant to use the correct calibration level (default is dboffset = 100), given that the keyval 'compression_knee_dB' is referenced to the dboffset. Note that if other dboffset values are used (e.g., dboffset=94 dB), the knee point will in fact start compressing at higher levels.
3. an envelope extraction stage done by half-wave rectification followed by low-pass filtering to 1500 Hz.
4. an simplified adaptation stage simulated as a first-order high-pass filter
- a modulation filterbank
Many parameters (keyvals) and flags can be optionally changed and/or switched
A. King, L. Varnet, and C. Lorenzi. Accounting for masking of frequency modulation by amplitude modulation with the modulation filter-bank concept. J. Acoust. Soc. Am., 145(2277), 2019. [ www: ]