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Hi,
I met two problems when testing your pretrained model "first_e0c8065_1380.pt",
1. If I ran the inference.py directly, some error will happen in the generator:torch.nn.modules.module.ModuleAttributeError: 'Upsample' object has no attribute 'remove_weight_norm'. I solved this by defining an extra function inside the generator.
2. After fixing problem 1, I checked the synthesized audio, clear artifacts can be heard and the quality is quite poor, I am not sure whether this is also your case. But absolutely it's far from the description in the original paper. I attached the audio as follows.
Hi,
I met two problems when testing your pretrained model "first_e0c8065_1380.pt",
1. If I ran the inference.py directly, some error will happen in the generator:
torch.nn.modules.module.ModuleAttributeError: 'Upsample' object has no attribute 'remove_weight_norm'
. I solved this by defining an extra function inside the generator.2. After fixing problem 1, I checked the synthesized audio, clear artifacts can be heard and the quality is quite poor, I am not sure whether this is also your case. But absolutely it's far from the description in the original paper. I attached the audio as follows.
LJ026-0135_reconstructed_epoch1380.wav.zip
Thanks.
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