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Table 2

The iterative steps of model fitting for each subject. Nd represents the number of data points per subject. Model variables and parameters are explained in Section 2. The results of obtained weighting factors are listed in Table 3.

Step Experiment Condition Nd Fitting parameters Initial value Fixed parameters
1 E B = 0” 5 bILD TSD Random bILD = bξ(w) = bγ = 0
2 A “BB” 5 bILD Random bILD TSD (step 1), bξ(w) = 0, bγ = 1
3 B 5 bξ & w bξ is random; w ∈ {0.5,0.6,0.7,0.8,0.9,1} bILD TSD (step 1), bILD (step 2), bγ = 1
4 C “ipsi” &”contra” 10 bξ & w Taken from step 3 bILD TSD (step 1), bILD (step 2), bγ =1
5 E “0% reverb. reduction” 5 bγ Random bILD TSD (step 1), bILD (step 2), bξ(w) (step 4)
6 A, B, C, E “BB”, “ipsi”, “contra” & “0% reverb. reduction” 25 bILD, bξ, w and bγ Taken from steps 2, 3 and 4 bILD TSD (step 1)

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