How to Set Up and Use the SoftVC VITS Singing Voice Conversion Fork

Oct 8, 2020 | Data Science

The SoftVC VITS Singing Voice Conversion Fork is a powerful tool for real-time voice conversion, offering enhanced usability and features compared to its predecessor. This guide will walk you through the installation and usage of this remarkable program.

What Is SoftVC VITS?

This project is a fork of so-vits-svc, designed to provide real-time voice conversion with an improved interface. While it has some limitations regarding model support, its key features include:

  • Real-time voice conversion
  • A user-friendly GUI
  • Faster training processes
  • Automatic downloading of pretrained models

Installation

Three main installation methods are available for SoftVC VITS:

Option 1: One-Click Easy Installation

For a hassle-free installation, download the install.bat script, which automatically installs all the necessary components.

Option 2: Manual Installation Using pipx (Experimental)

If you prefer manual installation, use the following steps:

  1. Install pipx:
    • Windows: py -3 -m pip install --user git+https://github.com/pypa/pipx.git
    • Linux/MacOS: python -m pip install --user pipx and python -m pipx ensurepath
  2. Install SoftVC:
  3. pipx install so-vits-svc-fork --python=3.11
  4. Inject necessary libraries:
  5. pipx inject so-vits-svc-fork torch torchaudio --pip-args=--upgrade --index-url=https://download.pytorch.org/whl/cu121

Option 3: Detailed Manual Installation

If you want more control over the setup, create a virtual environment and install the necessary packages accordingly.

Usage

Inference

To launch the application:

  • GUI: Run the command svc g
  • CLI: For real-time conversion, use svc vc, or to infer from a file, use svc infer source.wav

Training

Training your model requires proper dataset preparation with audio files sized around ten seconds. You can easily command the system to preprocess and train with the following commands:

svc pre-resample
svc pre-config
svc pre-hubert
svc train -t

Understanding the Command Flow: An Analogy

Think of setting up the SoftVC VITS as preparing a dinner party:

  • Installation: Like gathering all your ingredients beforehand, depending on whether you choose the simple or detailed setup will determine how much prep work you do.
  • Inference: Running the GUI or CLI is similar to either serving your guests at the table or taking their orders at the counter; both lead to the same delightful outcome but require different levels of interaction.
  • Training: Just like marinating your meat before cooking, preparing your audio files correctly leads to a flavorful and successful conversion model.

Troubleshooting

If you encounter issues during your setup or usage, consider the following:

  • Ensure your audio file formats are supported and organized correctly.
  • If you experience performance issues, consider upgrading your PC’s specs, particularly your GPU.
  • Check for the latest version updates regularly using pip install -U so-vits-svc-fork.

For more insights, updates, or to collaborate on AI development projects, stay connected with fxis.ai.

Final Thoughts

The SoftVC VITS Singing Voice Conversion Fork provides an accessible entry point into the world of voice conversion technology. Whether you’re an AI enthusiast or a developer, this tool can elevate your audio projects to new heights.

At fxis.ai, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.

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