Solving speech problems with neural ode and sincnet The folder contains several files that we will describe here:
train.yaml - Simply yaml file with the data params
Train.py- This is the main routine code that runs the entire process
Create_data - The data upload management , really suggest to write it by yourself and simply call dataloader immediately afterwards.
loss_method - I tried in addition to KL divergence some other loss functions such as Wasserstein and Bahtacharyaa .
resnet.py- Simply resnet.
ode-hleprs - These are helpers for the nural ode