Speech-enhancement VS Pytorch-UNet

Hi iam very new to deep learning and starting to experiment and learn So I wanted to denoise and enhance some speech files After going through alot of repos this one was the best https://github.com/vbelz/Speech-enhancement I installed all the dependencys (it was a hell) I had my data ready I started a test (10 epochs) and it was done But when I wanted to test it it says there is no json file and there isn't any! I read the code and and there is no function to make a json file its really confusing And iam pissed af all of the deep learning projects in github have near to no documentation even of how to use per traind models and finding a one that's has even the traing feature is a luxury and like the one that iam useing because the repos aren't updated from the last century they don't work

I am working on a machine learning rig with 2 gtx 980ti that learn the english language and results are getting better. https://github.com/vbelz/Speech-enhancement since I train a lot more datasets it took a few weeks.

Probably mean something like unet: https://github.com/milesial/Pytorch-UNet

Hi! I will give you some resources that might help you understand(I didnt implement a network but I can answer more questions about how you can train it). 1 This link gives you a broad explanation about UNet. 2 This is a link to a UNet used for binary segmentation. 3 This is a step by step guide. The UNet++ that I posted is good for multiclass segmentation. If you need more advice feel free to reply. Good luck!