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![image](https://github.com/speech-team-korea/speech-team-korea.github.io/assets/87218795/1c724e87-5564-469e-9769-6cb09773c024)
![image](https://github.com/speech-team-korea/speech-team-korea.github.…
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(s) c:\NaturalSpeech2>python C:\NaturalSpeech2\Pattern_Generator.py -lj C:\NaturalSpeech2\dataset\train -hp C:\NaturalSpeech2\Hyper_Parameters.yaml
C:\Users\user\.conda\envs\s\lib\site-packages\torch…
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## Describe the bug
Thank you so much for sharing this wonderful project. However, I have some problem about the tts ns2 training.
./egs/tts/NaturalSpeech2/README.md suggests us to follow other Amph…
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the first pitch in the sample() as follow:
https://github.com/lucidrains/naturalspeech2-pytorch/blob/659bec7f7543e7747e809e950cc2f84242fbeec7/naturalspeech2_pytorch/naturalspeech2_pytorch.py#L1478-L1…
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Hello, I was looking into your code and it seems like the code does not consider the duration_pitch_loss.
https://github.com/lucidrains/naturalspeech2-pytorch/blob/659bec7f7543e7747e809e950cc2f842…
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Hi All,
How are you?
Thank you for your wonderful work maintaining Amphion.
We are trying to train NS2 model using LibriTTS dataset, however, the steps for preprocessing the data are not clear. For…
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https://github.com/open-mmlab/Amphion/blob/5cb75d8d605ef12c90c64ba2e04919f4d5d834a1/models/tts/naturalspeech2/ns2_dataset.py#L121
https://github.com/open-mmlab/Amphion/blob/5cb75d8d605ef12c90c64ba2e0…
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When training the NS2 model, for calculating the CE-RVQ loss, we have the `diff_ce_loss` method:
https://github.com/open-mmlab/Amphion/blob/d33551476d792e608c13cec1bfa32283c868a2fb/models/tts/natural…
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https://github.com/open-mmlab/Amphion/blob/d33551476d792e608c13cec1bfa32283c868a2fb/models/tts/naturalspeech2/ns2_trainer.py#L134-L136
Traceback (most recent call last):
File "E:\00\Amphion-main…
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Epoch:1
Steps : 0, Gen Loss Total : 29.366, Dis Loss Total : 3.910, s/b : 1.833
......
Steps : 1390, Gen Loss Total : 15.950, Dis Loss Total : 2.581, s/b : 0.525
Steps : 1400, Gen Loss Total : 20.…