Comments (1)
Hello, you will most likely have to change the utils.data.ArabDataset
, where the lists train_phon.txt
or test_phon.txt
are processed. The model takes a phonetic alphabet as input. The text
module contain some functions for converting vocalized Arabic to phonemes. If the text in your dataset is not written in vocalized Arabic, you will have to change the symbols in text.symbols
. Also, the vocoder expects a sample rate of 22050 Hz, so you may have to up-/downsample your waves.
from tts-arabic-pytorch.
Related Issues (16)
- 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
- How can I implement the code with different dataset HOT 1
- The question about additional adversarial loss ? HOT 2
- 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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from tts-arabic-pytorch.