Comments (1)
Hi @yyggithub , thanks for sharing your insight. I've also noted about it yet no room for fixing that. In my thought, that might be from VariationalGenerator where the Conv and ConvTrans pair applied as a frame-wise bottleneck so that the output could have such noise at the end. I surely believe that simple arithmetic can solve it, but I can't afford that for now. So it would be nice if you have time and can handle that by your side and then report them for the community. Thanks!
from portaspeech.
Related Issues (20)
- Is the preprocess alignment necessary? HOT 4
- Weird sound from the beginning of the sentence "hello" HOT 5
- I hear echo & background noise on the DEMO wavs HOT 4
- A run Problem(LJSpeech) HOT 2
- What's the key difference between this repo and the official repo? HOT 1
- Who can share the pre-trained model which is the AISHELL3 HOT 4
- Training data required HOT 1
- RuntimeError: The size of tensor a (256) must match the size of tensor b (45) at non-singleton dimension 2
- The meaning of inputs[11:] in model.loss.py HOT 4
- Multi-speaker TTS HOT 1
- After training the AISHELL3 dataset, The synthesized sound is all electric current sound
- About def get_mask_from_lengths(lengths, max_len=None):
- What happens with word_encoder if some words are out of vocab ? HOT 1
- Is PortaSpeech a better choice than FastSpeech2 or DiffSpeech? HOT 2
- A questions about the output of Phoneme Encoding HOT 3
- RuntimeError: Found dtype Long but expected Float HOT 2
- small(320000.pth.tar) weights incompatibility HOT 1
- why valid loss is raising?
- Can this project run in windows?
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