Get a professionally trained RVC V2 voice model built from your audio dataset — ready for speech-to-speech conversion, TTS pipelines, and realistic singing vocals in any language.
I Will Train a Custom RVC V2 AI Voice Model From Your Dataset
Professionally trained RVC V2 model from your own audio dataset.
- Custom RVC V2 model trained on your dataset (up to 8 min audio)
- Source voice cleaning included
- Training up to 500 epochs at 48k batch size
- TensorBoard-monitored automatic early stopping
- Delivered as a complete ZIP (model + path + index files)
- Supports any language
Everything in Starter, plus an additional revision to fine-tune your model.
- Custom RVC V2 model trained on your dataset (up to 8 min audio)
- Source voice cleaning included
- Training up to 500 epochs at 48k batch size
- TensorBoard-monitored automatic early stopping
- 1 revision included for quality adjustments
- Delivered as a complete ZIP (model + path + index files)
No dataset needed — describe the voice you want and Zinn Digital™ handles everything, including singing vocal training.
- No dataset required — just describe the voice you want
- Zinn Digital™ sources and prepares all training audio
- Singing voice training supported (exclusive to this tier)
- Source voice cleaning and full training configuration included
- Training up to 500 epochs at 48k batch size with TensorBoard early stopping
- Delivered as a complete ZIP (model + path + index files)
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Key details about this service to help you decide. Generated by Zinn Hub, not the seller.
Value Position
Training Depth
Dataset Required
Delivery Format
Singing Vocals
What You'll Receive
Full Description
Your voice, your model — delivered as a production-ready RVC V2 package.
Whether you need a custom voice clone for speech-to-speech conversion, a TTS pipeline, or expressive singing vocals, this service gives you a fully trained RVC V2 model you can put to work immediately. Every model is trained by Zinn Digital™, a professional RVC model trainer, using a rigorous process that prioritises naturalness, clarity, and real-world usability.
**What you receive**
Each order delivers a complete ZIP archive containing your trained RVC V2 model along with all necessary path and index files — everything you need to load and run the model straight away. Training runs for up to 500 epochs at 48k batch size, and is automatically halted the moment TensorBoard performance metrics confirm no further improvement. That means you get the best possible version of your model, not just the maximum epochs.
**How it works**
For the Starter and Standard tiers you supply a clean audio dataset (up to 8 minutes of audio clips). Zinn Digital™ handles source voice cleaning and all training configuration. For the Full Package tier you simply describe the voice you want — no dataset required. The team sources and prepares everything on your behalf, and this is also the only tier that supports singing voice training.
**What makes a good dataset?**
A minimum of 10 minutes of audio is recommended for a decent model; 15–20 minutes is ideal. There are no language restrictions — any language can be trained.
**How can the model be used?**
RVC models are designed for speech-to-speech conversion. To use one for text-to-voice, generate speech with any TTS engine using any voice, then pass it through the RVC model to convert it to your desired voice. This workflow is fully supported and guidance is available via the order chat.
**Who is this for?**
Content creators, musicians, game developers, voice-over artists, software developers, and anyone who needs a consistent, controllable custom voice — in any language, for any use case.
**Why Zinn Digital™?**
Every model is trained with TensorBoard-monitored automatic early stopping, source audio cleaning included as standard, and a clean delivery format that works out of the box. Professional configuration, no guesswork, no wasted epochs.
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Compare Packages
| Feature | Starter | Standard | Full Package |
|---|---|---|---|
| Delivery Time | 2 days | 2 days | 3 days |
| Revisions | 0 | 1 | 1 |
| Custom RVC V2 model trained on your dataset (up to 8 min audio) | ✓ | ✓ | ✕ |
| Source voice cleaning included | ✓ | ✓ | ✕ |
| Training up to 500 epochs at 48k batch size | ✓ | ✓ | ✕ |
| TensorBoard-monitored automatic early stopping | ✓ | ✓ | ✕ |
| Delivered as a complete ZIP (model + path + index files) | ✓ | ✓ | ✓ |
| Supports any language | ✓ | ✕ | ✕ |
| 1 revision included for quality adjustments | ✕ | ✓ | ✕ |
| No dataset required — just describe the voice you want | ✕ | ✕ | ✓ |
| Zinn Digital™ sources and prepares all training audio | ✕ | ✕ | ✓ |
| Singing voice training supported (exclusive to this tier) | ✕ | ✕ | ✓ |
| Source voice cleaning and full training configuration included | ✕ | ✕ | ✓ |
| Training up to 500 epochs at 48k batch size with TensorBoard early stopping | ✕ | ✕ | ✓ |
Portfolio
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Train a Custom RVC V2 AI Voice Model From Your Dataset


Train a Custom RVC V2 AI Voice Model From Your Dataset

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Frequently Asked Questions
For the Starter and Standard tiers, yes — you will need to supply your own audio clips (up to 8 minutes). For the Full Package tier, no dataset is required; simply describe the voice you want and Zinn Digital™ handles sourcing and preparation entirely.
A minimum of around 10 minutes of clean audio is recommended to produce a decent voice model. Ideally, aim for 15–20 minutes for the best quality and naturalness.
No — RVC V2 models can be trained on audio in any language. Simply provide your dataset or describe the voice, and training will proceed regardless of the language spoken.
Not directly. The model is designed for speech-to-speech conversion. To use it for text-to-voice, generate audio with any TTS engine first (using any voice), then run that audio through your RVC model to convert it to your desired voice. Guidance on this workflow is available via the order chat.
You will receive a single ZIP archive containing the fully trained RVC V2 model file along with all required path and index files — everything you need to load and use the model immediately.
No — singing voice training is exclusively available on the Full Package tier. The Starter and Standard tiers support speech-to-speech and TTS use cases only.
TensorBoard monitors training performance metrics in real time. When no further improvement is detected, training is automatically stopped — even before 500 epochs are reached. This ensures your model is delivered at its peak quality rather than being over-trained, which can degrade naturalness.
Please provide clean, clear audio clips with minimal background noise. Common formats such as WAV or MP3 are accepted. If you are unsure whether your audio is suitable, mention this when you place your order and the team will advise you via the order chat.
Customer Reviews
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Great guy! Will come back for another one.
good and fast
Everything's great, there are now three voice models and the work delivered is good.
Everything was great and fast.
Delivered excellent work with a very short turnaround.
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