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Quick Tool Decision
Should you use Retrieval-based Voice Conversion WebUI? Easily train a good VC model with voice data in <= 10 mins!
Setup effort
medium
5-15 minutes
Data confidence: release and verification fields are source-audited when available; other summary fields are community-aggregated.
Last checkedVerified Apr 1, 2026 Overview Retrieval-based Voice Conversion WebUI is an open-source framework that facilitates voice conversion using retrieval-based techniques. It leverages VITS and allows users to train voice conversion models with limited voice data (<= 10 minutes). The system operates by replacing input source features with training set features using top1 retrieval, mitigating voice leakage. It offers a user-friendly web interface built with Gradio. Key features include fast training on modest hardware, model merging for voice alteration, UVR5 model integration for vocal and instrumental separation, and RMVPE for advanced pitch extraction to eliminate silent sounds. A-card and I-card acceleration are supported.
What is the minimum amount of data required for training?
It is recommended to collect at least 10 minutes of low-noise audio data for training a good voice conversion model.
Can I use this tool for commercial purposes?
Yes, you can use this tool for commercial purposes, as it is released under the MIT license.
How can I improve the quality of voice conversion?
Ensure you have clean, low-noise training data, use the latest RMVPE pitch extraction, and experiment with model merging.
Is GPU required for training?
While not strictly required, using a GPU (especially NVIDIA or AMD) significantly speeds up the training process.
FAQ + - What is the minimum amount of data required for training?
It is recommended to collect at least 10 minutes of low-noise audio data for training a good voice conversion model.
Can I use this tool for commercial purposes?
Yes, you can use this tool for commercial purposes, as it is released under the MIT license.
How can I improve the quality of voice conversion?
Ensure you have clean, low-noise training data, use the latest RMVPE pitch extraction, and experiment with model merging.
Is GPU required for training?
While not strictly required, using a GPU (especially NVIDIA or AMD) significantly speeds up the training process.
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Pros & Cons Pros
- Easy to use WebUI - Good voice quality with limited data - Active community support Cons
- Hardware compatibility issues - Requires technical setup - Dependency on pre-trained models Reviews & Ratings Share your experience, and users can reply directly under each review.
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Retrieval-based Voice Conversion WebUI | Find AI List
