// audio · Nanboy-Ronan/RVCBench

RVCBench

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.

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

💎 Hidden gem★ 57 stars⑂ 1 forksCC0-1.0updated 2026-10

View on GitHub ↗Official site ↗

▦ visual — this project's README ships no embeddable screenshot,
so here's a placeholder. The guide below is complete regardless.

// project facts

Project facts

Repository: Nanboy-Ronan/RVCBench
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

Clarify your goal
Decide what you want the project to do before installing anything.
Clone the repo
Grab the source and skim the README for setup requirements.
Install and configure
Install dependencies and add any API keys or settings it needs.
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.

// run it

Run it yourself

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
```
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
```
Step 3 — Run it
Start the app or CLI and follow the README examples.
```
python main.py --help
```

// use cases

What you can build

Transcribe podcasts with speaker labels.
Remove noise from meeting recordings.
Search years of audio archives by content.
Add studio-style effects on Linux.

// 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?

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

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Whisper★ 109.9k
Robust Speech Recognition via Large-Scale Weak Supervision
GPT-SoVITS★ 62.3k
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Real-Time-Voice-Cloning★ 60.2k
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
whisper.cpp★ 54.1k
Port of OpenAI's Whisper model in C/C++

// more in audio

Get RVCBench

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

View on GitHub ↗← More Audio tools

RVCBench

Project facts

How it works

Why people love it

Text-to-speech

Voice cloning

Standardized benchmarks

Local inference

Multiple formats

Streaming support

Run it yourself

What you can build

Questions, answered

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