Comments (2)
Hello, thanks for your interest. I have pushed the files for training the FastPitch model with and without the adversarial loss to the scripts/ folder.
Some notes:
- More information about training the FastPitch model can be found at NVIDIA/DeepLearningExamples
- I used a DataLoader ('DynBatchDataset') that uses different batch sizes depending on the sequence lengths in the batch. The sizes are adapted to the graphics card I use (11 GB).
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Thank you very much for your reply and the kindly notes. I will try to do the experiment on the new dataset as soon as possible.
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Related Issues (17)
- KeyError: 'i0i0' during inference HOT 11
- Issues with Tacotron2 Training on Nawar Halabi's Arabic Speech Corpus HOT 3
- How many epochs did you use to generate this model ? HOT 1
- Question Regarding pitch_dict.pt File HOT 2
- No CUDA - New torch.nn.utils.parametrizations.weight_norm HOT 6
- Python.net
- Arabic Dataset
- Train configs
- Train new language HOT 2
- Retraining model without nawar.yaml file HOT 1
- How can I implement the code with different dataset HOT 1
- New Dataset HOT 1
- Vocoder HOT 7
- AttributeError: 'float' object has no attribute 'items' HOT 2
- speaker_id param does not work
- Phonetising another dataset HOT 1
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