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All Projects → r9y9 → Nnsvs

r9y9 / Nnsvs

Licence: mit
Neural network-based singing voice synthesis library for research

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python
139335 projects - #7 most used programming language

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pytorchdnn

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NN-SVS

License Python CI

Neural network-based singing voice synthesis library for research.

Demo

Neural network-based singing voice synthesis demo using kiritan_singing database (Japanese)

  • Open In Colab
  • Nbviewer

Audio samples

Installation

  • Python 3.6 or newer
  • nnmnkwii: development version (master branch) is required
  • pysinsy development version is required. Please have a look at the repostiory for installation.
  • Pytorch >= 1.x

Note that packages listed above should be manually installed. After installing them, you can run:

python setup.py develop

to install the rest of dependencies.

Respository structure

Python docstring style

https://sphinxcontrib-napoleon.readthedocs.io/en/latest/example_google.html

Recipes

A recipe is a set of scripts and configuraitons that are used to reproduce experiments. All the steps used to conduct experiments are provided in a self-contained way. Please have a look at the egs directory if you want to build your singing voice systems.

Background

As of Feb. 2020, NEUTRINO, a DNN-based singing voice synthesis tool, has started gaining its popularity in Japan. Because of the powerful DNN-based approach, users can create expressive and natural singing voices even without manual tuning which is typically required to achieve satisfactory quality using the existing tools.

While NEUTRINO is a great tool for creative purposes, it is not open-source software. In fact, there are only a few open-source toolkits to the best of our knowledge. To advance the singing voice synthesis research, we aim to provide a modern DNN-based singing voice synthesis tool for researchers and developers.

That being said, I was just curious to see if I can make a better one than NEUTRINO. We’ll see :)

History

See HISTORY.md ]

Known issues

References

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