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Easily train a good VC model with voice data <= 10 mins!
This repository page is useful for visitors, but Git-Stars keeps it out of search indexing until more original evidence and comparison context are available.
70
review score
Problem solved
This project solves the problem of voice conversion and real-time voice changing with high quality and low latency, while avoiding timbre leakage and reducing the need for large amounts of training data. It also addresses the issue of silent audio (哑音) by using the state-of-the-art RMVPE pitch extraction algorithm.
Deployment reality
The available setup signal starts with: python -m pip install -r requirments_cpu_py312.txt. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is MIT. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
RVC-Project/Retrieval-based-Voice-Conversion-WebUI still needs a clearer capability analysis. Use the metadata as a discovery signal, not as a production recommendation.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
RVC-Project/Retrieval-based-Voice-Conversion-WebUI is tracked as a Python project in the LLM Tool, Data Tool, UI Framework area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 37k total stars, with +0 today, +361 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Active; the latest push was 18 days ago, and the open issue queue is 563, about 1.51% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 5.2k forks and 37k watchers suggest how often the project is reused or followed. License signal: MIT. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need Python teams evaluating ecosystem-native tooling. Be cautious when you need a legal review, security audit, or production SLA.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 361. Follow the original GitHub repository for final install, security, and release information.
Analysis
LimitedNeeds stronger original analysis before indexing.
Sources
ReadyRepository metadata and README/source references are attached.
License
ReadyMIT is recorded for review.
Maintenance
ReadyRecent activity is visible in repository metadata.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
37k Stars
Reuse
5.2k Forks
Attention
37k Watchers
Maintenance
active
License
MIT
Open issues
563
Retrieval-based-Voice-Conversion-WebUI (RVC) is an easy-to-use framework for voice conversion and real-time voice changer. It uses a top1 retrieval approach to replace input source features with training set features to prevent timbre leakage, and supports fast training even on relatively weak GPUs. The project provides a simple web interface for training and inference, and can also separate vocals from accompaniment using pymss/MSST models.
Key Features
- Top1 retrieval to prevent timbre leakage - Fast training even on weak GPUs, with good results from small datasets (recommend at least 10 minutes of low-noise speech) - Real-time voice changer with end-to-end latency as low as 90ms with ASIO devices - Model fusion to change timbre via ckpt-merge - Simple web interface - Vocal and accompaniment separation using pymss/MSST models - Support for CPU, AMD, Intel, and NVIDIA GPUs (including RTX 50 series)
LLM Tool
Libraries and tools for LLM apps, RAG, prompts, and evals
Data Tool
Databases, data pipelines, ETL, analytics, and vector search
UI Framework
Frontend frameworks, design systems, and interface libraries
python -m pip install -r requirments_cpu_py312.txt90
Health Score
Active
Commit Activity
Mar 27, 2023
Created
Aug 4, 2026
Last push
+84
Today's growth
+84
7-day growth
+84
30-day growth
Forks
Open
Watchers
RVC-Project
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License
✓
Forked
✓ Active
Maintained