Comments (2)
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?
from temporalconvolutionalnetworks.
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)
from temporalconvolutionalnetworks.
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from temporalconvolutionalnetworks.