Comments (5)
Hi @johnkuan506 , thanks for the report. You might be done correctly for the synthesis if the output speech contains all the words in the input text. I think this comes from both: that input was unseen during training and the issue mentioned here. I'll put my effort soon, but of course, you can try first and PR for the community.
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@johnkuan506 , I just updated the repo with the fixation (there was a bug in code, see this commit). I also applied several techniques to improve the alignment (see the note section in README for the details). So please check out the new pre-trained model and demo!
Here is the output mel of "Hello, glad to see you." using the update:
from portaspeech.
Hi @keonlee9420, thank for your work. I've tried some sentences, and these changes do improve PortaSpeech's generalization ability on untrained data. I'll let you know if I find any problems.
from portaspeech.
Hi @keonlee9420, thank for your work. I've tried some sentences, and these changes do improve PortaSpeech's generalization ability on untrained data. I'll let you know if I find any problems.
thanks for your effort!
from portaspeech.
Close due to inactivity
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Related Issues (20)
- Is the preprocess alignment necessary? HOT 4
- Noise at the end of the speech HOT 1
- 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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