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Anleitung ansehen →RVCBench ist ein Open-Source-Projekt aus der Kategorie Audio von Nanboy-Ronan (Nanboy-Ronan/RVCBench auf GitHub). Es hat 57 Sterne auf GitHub und 1 Forks, wird unter der Lizenz CC0-1.0 veröffentlicht und wurde zuletzt am 4. Oktober 2026 auf GitHub aktualisiert.
Benchmark voice-cloning robustness across 32 TTS/VC models.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Converts text into spoken audio.
Replicates voices for dubbing and narration.
Reproducible scores across models and configs.
Process audio without uploading to the cloud.
Handles MP3, WAV, and common audio formats.
Real-time transcription as audio arrives.
Download the source and move into the project folder.
git clone https://github.com/Nanboy-Ronan/RVCBench.git
cd RVCBenchCreate a virtual environment and install the requirements.
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtStart the app or CLI and follow the README examples.
python main.py --helpIt 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.
Yes. It is CC0-1.0, effectively public domain — use it however you like.
MP3, WAV, and most common formats are supported.
It helps a lot for transcription speed, but CPU mode works too.
Tools with diarization label who said what.
Give AI agents a seat in your meetings.
Voice-to-text for the Linux terminal, from a hotkey.
NVIDIA Broadcast-style AI effects for Linux and macOS.
One Gradio + React WebUI for dozens of TTS, voice-cloning and music models — Bark to Kokoro.
Chatterbox — Resemble AI's open-source TTS family: expressive text-to-speech and voice cloning, multilingual V3, low-latency Turbo and tiny Nano models, MIT
MOSS-TTS family: open text-to-speech models for voice cloning, dialogue, voice design, and real-time agents
Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls RVCBench nicht das Richtige ist.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Verwandte Projekte der Kategorie Audio im Katalog, die RVCBench bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Official JS SDK for AssemblyAI transcription and audio intelligence.
Free offline Whisper dictation for Windows, macOS, and Linux.
Record your screen, narrate the bug, hand AI structured notes.
On-device speech-to-text for macOS.
Local AI search across your podcast and video archives.
Open-source dictation with offline recognition, everywhere.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.