MorganCZY
MorganCZY
Yes, it's agreed the ideal D loss is scarcely possible to be achieved during training in reality. It, however, should not be so close to 0, but a value around...
Thank you for the vivid metaphor so that I deepen my understanding of this whole work. However, the point I'm struggling with is the timbre issue. I've simulated several mainstream...
But steps are more than two million after 3k epochs. Could you upload your tensorboard graphs? I want to check if the losses of my training process are of correct...
@m-toman I only tried to train a vocoder, not a whole TTS system. So, true mel-spectrograms rather than the outputs of a taco are used to train this MelGAN.
@ye2020 How did you control the speaker embeddings? Besides, could you release some wav samples?
@raphpapercup @te0006 Have you solve this error? I encountered the same error.
Hi, an error occured to me when running preprocess.py with the latest code version. It seems the processing is jammed as shown in the following picture. Have you had this...
But what's the reason for this "deadlock" in the current code(with executor.submit....)?
It seems because there are torch tensor operations in multi processing. I located that the code came to a deadlock when running the line as shown in the following picture....
@begeekmyfriend Hi, what do you mean by "rescaling"? Could you point out where it is embodied in the preprocess.py?