ML_CLSF example                                                    10-Oct-2016

These files provide an example of how to determine a maximum-likelihood
categorical-loudness-scaling function (CLSF) given a sequence of (level,category)
pairs that represent CLS responses of one listener at one frequency. 

There are 2 MATLAB scripts and 3 MATLAB data files:
    clsf_example.m - demonstrates listener-data selection and CLSF computation
    catalogCLS_1db.m - function to estimate CLSF from listener data
    tbt_NH_ISO_exp2.mat - trial-by-trial data for 13 listeners with normal hearing
    tbt_HL_ISO_exp2.mat - trial-by-trial data for 30 listeners with hearing loss
    storelikeli_1dbres.mat - CLSPF parameters and corresponding likelihoods

At the MATLAB command prompt, type "clsf_example".
