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pytorch implementation of Neural Parametric Singing Synthesizer 歌声合成

License: MIT License

Python 3.47% Jupyter Notebook 96.53%

torch_npss's Introduction

torch_npss

中文(chinese)

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/

sample

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

torch_npss's People

Contributors

seaniezhao avatar yuangu avatar

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