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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%

sing synthesizer

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/

dataset：https://drive.google.com/file/d/137dTlTiN7jSadV76sRDRwNJ_ysTz1psA/view?usp=sharing

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

A complete version of implementation which including F0 model and vuv model see here: https://github.com/seaniezhao/cnnpss

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torch_npss's Issues

wavenet 结构

请问一下，你wavenet结构是基于google的那个版本吗

How does CGM loss work?

Can anybody explain me how the CGM loss function works?
I can't find any information about this type of loss

Raw and Label data

"put your own raw and label data in data/raw/" Could you please explain how can I generate raw and label data for my example with English song?

How to train models?

Hi,

I'm using Google Colaboratory for running the scripts, but when training models with the default settings, I get the error (along with output) attached below:
https://pastebin.com/63vg3zKS

Additionally, here is my notebook code so far
notebook.zip
:

Any help is appreciated!

How do I make it sing?

How do I set the lyrics and pitches?

关于测试的标注文件

请问如何通过wav文件得到.lab标注文件呢？

did it's included pre trained model ?

Hi:

did it's included pre trained model ?

condition_channel

hello!

How do you know what value should be the appropriate dimension of your data? For example, from the given dataset "nitech_jp_song070_f001_029", how to tell its dimension?

Thank you

Python package installation errors

I've encountered and solved two errors during installation. I hope the following info would be helpful to others interested in this repo.

If you fail to install pyworld during pip install -r requirement, use:
MACOSX_DEPLOYMENT_TARGET=10.9 pip install pyworld
instead. See JeremyCCHsu/Python-Wrapper-for-World-Vocoder#1 (comment) for reference.
Because of the tensorflow2, the requirement.txt can add a tensorflow version descriptor like "1.15.0".

关于数据集

能不能分享一下，你训练的数据集？

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