LibreAI / Audio / RVCBench
// audio · Nanboy-Ronan/RVCBench

RVCBench

Benchmark voice-cloning robustness across 32 TTS/VC models.

💎 Hidden gem★ 57 stars⑂ 1 forksCC0-1.0updated 2026-10
▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.
// project facts

Project facts

RVCBench is an open-source audio project by Nanboy-Ronan (Nanboy-Ronan/RVCBench on GitHub). It has 57 GitHub stars and 1 forks, is released under the CC0-1.0 license, and was last updated on GitHub on 4 October 2026.

GitHub stars
57
Forks
1
License
CC0-1.0
Last updated on GitHub
4 October 2026
Category
Audio
Listing
Hidden gem — a shorter page for a lesser-known project
Official site
Official site
// how it works

How it works

  1. Clarify your goal

    Decide what you want the project to do before installing anything.

  2. Clone the repo

    Grab the source and skim the README for setup requirements.

  3. Install and configure

    Install dependencies and add any API keys or settings it needs.

  4. Run your first task

    Launch it and follow the example workflow from the docs.

// features

Why people love it

Text-to-speech

Converts text into spoken audio.

Voice cloning

Replicates voices for dubbing and narration.

Standardized benchmarks

Reproducible scores across models and configs.

Local inference

Process audio without uploading to the cloud.

Multiple formats

Handles MP3, WAV, and common audio formats.

Streaming support

Real-time transcription as audio arrives.

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// run it

Run it yourself

  1. Step 1 — Clone the repo

    Download the source and move into the project folder.

    git clone https://github.com/Nanboy-Ronan/RVCBench.git
    cd RVCBench
  2. Step 2 — Install dependencies

    Create a virtual environment and install the requirements.

    python3 -m venv .venv && source .venv/bin/activate
    pip install -r requirements.txt
  3. Step 3 — Run it

    Start the app or CLI and follow the README examples.

    python main.py --help
// use cases

What you can build

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// faq

Questions, answered

Who maintains RVCBench?

It is an open-source project at Nanboy-Ronan/RVCBench with 1 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.

Is RVCBench free to use?

Yes. It is CC0-1.0, effectively public domain — use it however you like.

What audio formats work?

MP3, WAV, and most common formats are supported.

Does it need a GPU?

It helps a lot for transcription speed, but CPU mode works too.

Can it handle multiple speakers?

Tools with diarization label who said what.

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// alternatives

Alternatives in Audio

The most-starred other Audio projects in the LibreAI catalogue — the realistic shortlist if RVCBench is not the right fit.

Get RVCBench

Free and open — grab the source, star the repo, and start creating.