L and B values

I would like to thank you for sharing the code, it is a really great job. I would appreciate if you can tell me what are L and B values that you used for Dilated TCN. Also, I would like to know if you have the trained models.
Thank you!

[colincsl]

I'm glad you are finding the code to be useful! 'L' corresponds to how many convolutional layers are in each block. 'B' is the number of blocks in succession. These are defined in the same as the original WaveNet model (e.g., you have a sequence of dilated convs within a block; you concatenate a sequence of blocks; and you summate the output of each block)

Thank you for your answer. Sorry for bothering you again, I was reading the paper and I can't find the values (L and B) you used for each dataset. Could you please tell me which values you usded for MERL dataset?