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At a Glance

Key details about this service to help you decide. Generated by Zinn Hub, not the seller.

Training Architecture

RVC v2 + HiFiGAN
Uses the latest RVC v2 model architecture with HiFiGAN (2nd generation) for higher fidelity voice reproduction compared to older v1 models.

Max Training Depth

Up to 5,000 Epochs
Epoch count scales with your dataset length, meaning longer, cleaner audio inputs can unlock deeper, more accurate voice model training.

Dataset Requirement

Min. 10 Minutes of Audio
Buyers must supply at least 10 minutes of clean, silence-free audio at 44.1 kHz studio quality for the model to train effectively.

Deliverables Included

.pth, .index, TensorBoard + Dataset
You receive all core model files needed to run and deploy the voice model independently, including the index file for improved similarity matching.

What You'll Receive

Formats:
Digital Files
Source Files
Delivery Method:
Order Manager
Notes: All deliverables are packaged into a single .zip folder and uploaded directly via the order manager. The folder contains your .pth model file, .index file, and TensorBoard training graph. Standard and Full Production orders also include the complete cleaned dataset. Please allow up to the full delivery window as model training runs for a minimum of 12 hours on Day 2.

Full Description

Your voice, perfectly cloned. Whether you need a lifelike AI voice model for music, content creation, or personal projects, this service delivers a professionally trained RVC v2 model built to the highest standard available in AI voice synthesis today.

With two years of hands-on experience training custom AI voice models, this service uses the full RVC v2 pipeline — from raw audio processing right through to a finished, deployable model. Every order is handled with genuine care and technical precision, not rushed through an automated pipeline.

**What You Receive**

Every completed order includes your full set of model files: the .pth model file, the .index file for voice conversion quality, a TensorBoard training graph, and — for buyers who opt for custom dataset creation — the complete cleaned dataset used during training. All files are delivered in a neatly packaged .zip folder.

**How It Works**

The training process runs over a minimum of two days by design:

- Day 1: Your audio is processed and cleaned using UVR 5 to remove noise, silence gaps, and artefacts that would otherwise degrade model quality.
- Day 2: The cleaned dataset is fed into the RVC v2 training architecture (HiFiGAN v2) using RMVPE pitch extraction, running for up to 5,000 epochs depending on dataset length.

This is not a shortcut service. Proper voice model training genuinely takes time, and that time is what separates a high-quality model from a muddy, inconsistent one.

**What You Need to Provide**

For the best results, you should supply studio-quality voice recordings at 44.1 kHz with minimal background noise and no significant silence gaps. A dataset of 8–15 minutes is a solid starting point; 15–45 minutes is ideal for exceptional output. If you do not have a dataset ready, the custom dataset option means you simply provide the voice source details and the dataset is compiled for you.

**Language & Usage**

RVC v2 models clone the voice, not the language — so your finished model can speak or sing in virtually any language without retraining.

Full usage rights are transferred to you upon delivery. Your files are deleted from the training system once the model has been sent, so your data stays private.

**Who This Is For**

This service is ideal for music producers, content creators, podcasters, game developers, and anyone who needs a realistic, flexible AI voice model trained to a professional standard. If you have questions about how to deploy or use your RVC v2 model once delivered, feel free to ask via the order chat — guidance is always available.

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Compare Packages

FeatureStarterStandardFull Production
Delivery Time4 days6 days9 days
Revisionsunlimitedunlimitedunlimited
RVC v2 training with RMVPE pitch extraction
Dataset cleaning via UVR 5 algorithm
Up to 5,000 epochs (dataset-length dependent)
.pth model file and .index file included
TensorBoard training graph included
All files delivered in a .zip folder
Everything included in the Starter package
Custom dataset sourced and compiled for you
Full cleaned dataset delivered alongside model files
Ideal for 15–45 minutes of voice data for superior quality
Priority order handling and progress updates
All files delivered in a clearly organised .zip folder
Everything included in the Standard package
Extended epoch training for maximum voice accuracy
Singing vocals optimisation included
Source voice cleaning with enhanced artefact removal
Custom dataset compiled and fully delivered
Comprehensive model package: .pth, .index, TensorBoard graph, and dataset

Portfolio

Examples of the seller's work related to this Zinn.

Train a Custom High-Quality RVC v2 AI Voice Model

Train a Custom High-Quality RVC v2 AI Voice Model

Extra Information

My Process

Step 1: Dataset Review:Your submitted audio is reviewed for quality, length, and suitability before processing begins.
Step 2: Cleaning & Processing:The dataset is cleaned using UVR 5 to remove noise, artefacts, and silence gaps — ensuring clean input for training.
Step 3: Model Training:The RVC v2 training pipeline runs using RMVPE pitch extraction and HiFiGAN v2 architecture for up to 5,000 epochs.
Step 4: Quality Check & Delivery:The finished model is reviewed, packaged into a .zip folder, and delivered to you via the order manager.

Why Choose Me

Specialist Experience:Two years of dedicated experience training custom AI voice models using the RVC v2 pipeline.
Professional-Grade Tools:Every model is trained using RVC v2, RMVPE pitch extraction, HiFiGAN v2 architecture, and UVR 5 dataset cleaning — the current gold standard in AI voice synthesis.
Language Agnostic:Your model can speak or sing in any language — no retraining required.
Full Rights & Privacy:You own full usage rights. All files are deleted from the training system upon delivery.

Perfect For

Ideal Buyers:Music producers and artists, Content creators and podcasters, Game developers needing custom voice assets, Developers building voice-enabled applications, Individuals wanting a personal AI voice clone

Frequently Asked Questions

A minimum of 8–15 minutes of clean voice audio is required to produce a good-quality model. For the best possible results, 15–45 minutes of audio is ideal. The audio should be at 44.1 kHz with no significant silence gaps or background noise.

No problem. The Standard and Full Production packages include a custom dataset creation service. Simply provide the details of the voice you wish to clone and the dataset will be compiled for you — no audio preparation required on your end.

Yes. RVC v2 clones the vocal characteristics of a voice, not its language. This means your finished model can speak or sing in virtually any language without any additional training.

Quality voice model training is a two-stage process. Day 1 is dedicated to cleaning and processing your audio dataset using UVR 5 to remove noise and artefacts. Day 2 is the actual model training, which runs for at least 12 hours to reach up to 5,000 epochs. Rushing this process would directly reduce the quality of your model.

You will receive your .pth model file, your .index file, and a TensorBoard training graph, all packaged in a .zip folder. Buyers on the Standard or Full Production packages will also receive the complete cleaned dataset used during training.

You do. Full usage rights transfer to you upon delivery. Your files are deleted from the training system once the model has been sent over, ensuring your data and model remain private.

RVC v2 models can be run locally if you have a compatible setup, or uploaded to compatible voice conversion platforms. If you need step-by-step guidance on how to deploy your model, add the Deployment Guidance add-on at checkout or ask via the order chat once your order is placed.

Studio-quality recordings at 44.1 kHz are strongly recommended for optimal model performance. Your audio should be free from significant background noise, music, reverb, and long silence gaps. The cleaner the input, the more accurate the output.

Customer Reviews

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SUPERRRRRRR PROFESSIONAL

Thanks for your work, I've enjoyed your professionalism and attention to detail as well as your flexibility. Communication was also great, will be glad to work with you again in future.

Amazing job! Looking forward to work with u again.

Wonderful experience! Neil is excellent, I love working with him! Thank you for everything and see you soon!

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Professionally Train A High Quality Custom Ai Voice Model

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