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I have used the pretrained model as provided in the google drive of the official repo. Based on the check point of the pre-trained model when I executed the infernce.py file, the generated samples quality I observed are very noisy for different values of reverse diffusion process (10,20,30,40,50,70). If I can get any suggestion regarding the same. I have used the ckpt of Libri-TTS model (not the LJ-Speech). However, in the demo page the quality of the samples are sufficiently good.
The text was updated successfully, but these errors were encountered:
I have used the pretrained model as provided in the google drive of the official repo. Based on the check point of the pre-trained model when I executed the infernce.py file, the generated samples quality I observed are very noisy for different values of reverse diffusion process (10,20,30,40,50,70). If I can get any suggestion regarding the same. I have used the ckpt of Libri-TTS model (not the LJ-Speech). However, in the demo page the quality of the samples are sufficiently good.
The text was updated successfully, but these errors were encountered: