About the DECODER used in the Cross-reconstruction Emotion Disentanglement Module

[DaddyJin]

Thank you for the great work and the disentanglement of content and emotion features are really novel.
When I re-product this module, I get frustrated about the decoder structure. Could you show me the demo code?
Say we get the concatenation of content and emotion features of shape [Batchsize, N, content_dim+emotion_dim], how to convert it to the mfcc features of shape [Batchsize, N, 28, 12]?
Looking forward to your reply and thank you in advance!

[jixinya]

I have released the training code. You can check it in train/disentanglement/code/models_content_cla.py (class Decoder).