& 40 & 45 & 0.0217 & 0.101 &\
0.1 & 40 & 61 & 0.0216 & 0.105 &\
0.1 & 40 & 77 & 0.0209 & 0.108 &\
0.1 & 40 & 93 & 0.0206 & 0.098 &\
0.1 & 40 & 109 & 0.0214 & 0.117 &\
0.1 & 40 & 125 & 0.0218 & 0.101 &\
0.15 & 60 & 77 & 0.0338 & 0.1571 &\
0.16 & 64 & 77 & 0.0380 & 0.1754 &\
0.17 & 68 & 77 & 0.0446 & 0.2102 & $\times$\
0.18 & 72 & 77 & 0.0447 & 0.2003 & $\times$\
0.19 & 76 & 77 & 0.0480 & 0.2305 & $\times$\
0.2 & 80 & 77 & 0.0552 & 0.2390 & $\times$\
0.25 & 100 & 77 & 0.0676 & 0.2855 & $\times$\

We evaluate on models that are trained for 50 epoch with L1 loss and Spectrogram perceptual metrics (see Table \[tab:mask\_ratio\_perceptive\_field\]).

#### **Receptive field.**

In our proposed structure, increasing the depth of the network enlarges the receptive field. According to our experiment results, the receptive field has to be larger than a certain threshold in order to inpaint the whole mask. Nevertheless, after reaching a certain size, 