Get a professional, locally trained AI voice model built from your own vocals — precision-crafted for RVC-based applications and DiffSinger/OpenUTAU, with ethical, private processing in London.
I Will Train a Custom AI Voice Model Using RVC or DiffSinger
Core RVC voice training data built from your submitted vocals.
- Custom RVC voice training dataset
- Trained locally in London — never uploaded to external servers
- Compatible with Applio and RVC-based applications
- Ethical AI development using your vocals only
- Delivered as a ready-to-use model file
Full RVC dataset with source voice cleaning, singing vocal processing, and revisions.
- Everything in Basic
- Source voice cleaning applied to your submitted recordings
- Singing vocals processing for improved model quality
- 2 rounds of revisions included
- Compatible with Applio, RVC-based applications, and OpenUTAU (DiffSinger)
- Locally trained on dedicated hardware in London
Comprehensive AI voice dataset with cleaning, singing vocals, maximum revisions, and faster delivery.
- Everything in Boost
- 5 rounds of revisions for a finely refined model
- Faster delivery than Boost (30 days vs 45)
- Source voice cleaning and singing vocal processing
- Full compatibility with Applio, RVC-based apps, and OpenUTAU (DiffSinger)
- Locally trained — your data never leaves our secure London system
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Key details about this service to help you decide. Generated by Zinn Hub, not the seller.
Value Position
Training Method
Platform Compatibility
Revision Access
Community Expertise
What You'll Receive
Full Description
Your voice is unique, and your AI voice model should be too. This service delivers a professionally trained, custom AI voice dataset built entirely from your own vocal recordings — engineered for use with RVC-based applications such as Applio, and compatible with OpenUTAU via DiffSinger. Whether you are a singer, voice creator, or vocal synthesiser enthusiast, this is the service that turns your raw recordings into a high-quality, deployable AI voice model.
Zinn Digital has specialised in AI voice and vocal synthesis data development since 2020, building a respected reputation within the Vocal Synth community — spanning Vocaloid, UTAU, Synthesizer V, and related platforms. The work is recognised for its precision, consistency, and genuine care for the craft.
What sets this service apart is where and how your data is processed. All training is carried out locally on dedicated hardware in London, England. Your voice recordings are never uploaded to external servers, cloud platforms, or third-party data centres. This is ethical AI development by design: only your submitted samples — and no one else's voice data — are used in the creation of your model.
The deliverable you receive is a clean, optimised AI voice training dataset ready to use with compatible software. This is not a standalone application; it is the trained model data itself, ready to be loaded into your chosen compatible platform.
**What you will need to provide:**
- A minimum of 30 minutes of singing vocal recordings (pitch accuracy is not required — natural delivery is fine)
- Raw, unprocessed audio only — no tuning, EQ, compression, or effects applied
- 48kHz / 24-bit audio format or lower
- Romaji lyrics included with your submission
- No rap or spoken-word segments
- All files packaged into a single .zip archive
The entry-level package delivers your core RVC voice training data. The mid-tier Boost package extends this with source voice cleaning and singing vocal processing, giving you a more polished foundation. The top-tier Premium package adds further revisions and a faster turnaround alongside the full feature set.
This service is ideal for independent vocalists, UTAU creators, Vocal Synth hobbyists and professionals, content creators wanting a personalised AI voice, and anyone curious about building their own singing voice synthesiser asset.
All datasets are compatible with Applio, RVC-based applications, and OpenUTAU (DiffSinger). Note that this service does not include the development of standalone AI software or applications.
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Compare Packages
| Feature | Basic | Boost | Premium |
|---|---|---|---|
| Delivery Time | 10 days | 45 days | 30 days |
| Revisions | 0 | 2 | 5 |
| Custom RVC voice training dataset | ✓ | ✕ | ✕ |
| Trained locally in London — never uploaded to external servers | ✓ | ✕ | ✕ |
| Compatible with Applio and RVC-based applications | ✓ | ✕ | ✕ |
| Ethical AI development using your vocals only | ✓ | ✕ | ✕ |
| Delivered as a ready-to-use model file | ✓ | ✕ | ✕ |
| Everything in Basic | ✕ | ✓ | ✕ |
| Source voice cleaning applied to your submitted recordings | ✕ | ✓ | ✕ |
| Singing vocals processing for improved model quality | ✕ | ✓ | ✕ |
| 2 rounds of revisions included | ✕ | ✓ | ✕ |
| Compatible with Applio, RVC-based applications, and OpenUTAU (DiffSinger) | ✕ | ✓ | ✕ |
| Locally trained on dedicated hardware in London | ✕ | ✓ | ✕ |
| Everything in Boost | ✕ | ✕ | ✓ |
| 5 rounds of revisions for a finely refined model | ✕ | ✕ | ✓ |
| Faster delivery than Boost (30 days vs 45) | ✕ | ✕ | ✓ |
| Source voice cleaning and singing vocal processing | ✕ | ✕ | ✓ |
| Full compatibility with Applio, RVC-based apps, and OpenUTAU (DiffSinger) | ✕ | ✕ | ✓ |
| Locally trained — your data never leaves our secure London system | ✕ | ✕ | ✓ |
Extra Information
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Frequently Asked Questions
The dataset and trained model files are compatible with Applio, other RVC-based applications, and OpenUTAU using the DiffSinger engine. Please note this service does not include the development of standalone AI programmes or applications.
Not at all. Pitch accuracy is not required — natural vocal delivery works perfectly for training purposes. What matters most is that you provide clean, unprocessed audio free of effects, tuning, or EQ.
Yes, absolutely. All training is performed locally on dedicated hardware in London, England. Your recordings are never uploaded to external servers, cloud platforms, or third-party data centres such as Google or OpenAI. Only your submitted samples are used in the model.
Please provide raw, unprocessed audio at 48kHz / 24-bit or lower. No tuning, EQ, compression, or effects should be applied. Package all files into a single .zip archive and include romaji lyrics with your submission.
A minimum of 30 minutes of singing samples is required. Please avoid including rap or spoken-word segments. The more clean, consistent singing you can provide, the better the resulting model quality.
You will receive a trained AI voice model dataset ready to load into compatible software. This is the model data itself — not a standalone application. You will need to have a compatible platform such as Applio or OpenUTAU installed to use it.
Source voice cleaning refers to processing applied to your submitted recordings before training begins, helping to remove unwanted noise, artefacts, or inconsistencies in the raw audio. This results in a cleaner foundation for the AI model and generally improves output quality.
No — for best results, please submit singing vocals only and avoid spoken-word or rap segments. Including these can negatively affect the quality and accuracy of the trained model.
Customer Reviews
See what our customers say about this Zinn
It's awesome, way better than when I tried to do it myself, haha.
I highly recommend Mangosiryan's service! They were professional, communicative, and delivered a high-quality Diffsinger voicebank that exceeded my expectations. The process was smooth, and they kept me updated throughout. Thank you for bringing my vision to life!
Genuinely phenomenal work, the end result went beyond what I thought it’d sound like and even though there was a little delay due to things out of anyone’s control, I am still beyond happy with the end result. Would REALLY recommend!!
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