Skip to main content

DNN-based singing voice synthesis library

Project description

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 setup.py develop

Repository 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

Related projects

References

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nnsvs-0.0.1.tar.gz (38.3 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page