seaniezhao / Torch_npss
Licence: mit
pytorch implementation of Neural Parametric Singing Synthesizer 歌声合成
Stars: ✭ 115
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torch_npss
implementation of A Neural Parametric Singing Synthesizer: https://arxiv.org/abs/1704.03809
- pretrained models are provided in snapshots/
- generated samples are in data/gen_wav/
try it out!
note: test labels are in data/timbre_model/test
pip install -r requirements.txt
python inference.py
try with your own data
put your own raw and label data in data/raw/
change custom_test in data/preprocess.py to True
run data/preprocess.py
run generate_test('your_file_name') in inference.py
train your own model
- put your audio and label in data/raw
- run data/preprocess.py
- adjust condition_channel in hparam.py according to your data
- run train_harmonoc.py train_aperoidic.py train_vuv.py
- if you have any questions feel free to leave an issue
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