NNSVS

About

NNSVS is ranked #20 of 25 in AI singing voice generators on Inferse. It runs on Linux, macOS, Windows.

Compared on AI singing voice generators

Free plan

Yesgithub.com

Vocal input

Nogithub.com

Export formats

WAVgithub.com

Commercial use

allowedgithub.com

Facts

Purpose

NNSVS is a neural network based singing voice synthesis library designed for research.nnsvs.github.io · 7 Oct 2026

Open source

NNSVS is fully open source and lets users create voicebanks with their own datasets.nnsvs.github.io · 7 Oct 2026

Languages

The documentation says NNSVS has been used to create singing voice synthesis systems for 8 or more languages.nnsvs.github.io · 7 Oct 2026

Research recipes

It includes reproducible Kaldi and ESPnet style recipes for creating baseline systems in research.nnsvs.github.io · 7 Oct 2026

Workflow

Recipes cover data preprocessing, training, and synthesis, and can be customized with users’ own data and models.nnsvs.github.io · 7 Oct 2026

Input formats

Packed models can generate singing voice from MusicXML or UST files.nnsvs.github.io · 7 Oct 2026

Supported operating systems

The installation guide lists Linux, Mac OS X, and Windows as supported platforms and says Linux is recommended for development.nnsvs.github.io · 7 Oct 2026

Requirements

The guide requires Python 3.7 or later and a C/C++ compiler; GPU/CUDA is recommended for best performance.nnsvs.github.io · 7 Oct 2026

Integrations

NNSVS integrates Optuna for hyperparameter optimization and uses MLflow to visualize and track search results.nnsvs.github.io · 7 Oct 2026

Optional compute

Users without a GPU can run NNSVS on Google Colab, though the documentation does not recommend Colab for hyperparameter optimization.nnsvs.github.io · 7 Oct 2026

Licensing

The project’s GitHub repository lists the MIT license.github.com · 7 Oct 2026

Intended users

The project says it was originally designed for research and points non-researchers and non-developers to more user-friendly tools such as ENUNU and Simple-ENUNU.nnsvs.github.io · 7 Oct 2026

Training limitation

The documentation says acoustic model training can take several hours or a whole day depending on configuration.nnsvs.github.io · 7 Oct 2026

Support information

The opened project pages provide installation guides, tutorials, and API reference documentation; they do not state a dedicated support service.nnsvs.github.io · 7 Oct 2026

Research workflows

NNSVS includes reproducible recipes modeled on Kaldi and ESPnet approaches for building baseline systems in research.nnsvs.github.io · 8 Oct 2026

Synthesis pipeline

Its documented system includes time-lag, duration, acoustic, post-filter, and vocoder modules.nnsvs.github.io · 8 Oct 2026

Inputs and outputs

With a packed model, users can generate singing voice by inputting MusicXML or UST files.nnsvs.github.io · 8 Oct 2026

Customization

Users can implement custom PyTorch models by inheriting NNSVS's BaseModel interface.nnsvs.github.io · 8 Oct 2026

Supported platforms

The installation guide lists Linux, Mac OS X, and Windows as supported and says NNSVS is tested on them with GitHub Actions.nnsvs.github.io · 8 Oct 2026

Compute

GPU/CUDA is strongly recommended for performance, while Google Colab is listed as an option for users without GPUs.nnsvs.github.io · 8 Oct 2026

Notable limitation

The documentation says the post-filter is currently not recommended and neural-vocoder support is limited.nnsvs.github.io · 8 Oct 2026

Where it ranks on Inferse

• Best AI Singing Voice Generators in 2026#20 of 25

Sources

• nnsvs.github.io· checked 7 Oct 2026
• nnsvs.github.io/recipes.html· checked 7 Oct 2026
• nnsvs.github.io/installation.html· checked 7 Oct 2026
• nnsvs.github.io/optuna.html· checked 7 Oct 2026
• github.com/nnsvs/nnsvs· checked 7 Oct 2026
• nnsvs.github.io/overview.html· checked 8 Oct 2026
• nnsvs.github.io/custom_models.html· checked 8 Oct 2026