---
title: "I Will Train a Custom RVC V2 or GPT-SoVITS AI Voice Model"
url: https://zinnhub.com/zinns/train-rvc-v2-or-gpt-sovits-voice-for-you-to-use/
description: "Get a professionally trained, custom AI voice model built from your own recordings — with source audio cleaning included so your model sounds its absolute best from the start."
published: 2025-11-30T02:21:16+00:00
modified: 2026-06-30T23:25:50+00:00
language: en-GB
---

# I Will Train a Custom RVC V2 or GPT-SoVITS AI Voice Model

Whether you want to clone your own voice, recreate a character, or build a unique synthetic speaker, a well-trained RVC V2 voice model is the foundation everything else depends on. This service handles the full training pipeline for you — from cleaning your raw audio through to delivering a ready-to-use model file.

Based in London, England, Zinn Digital specialises in custom AI voice model training using RVC V2 and GPT-SoVITS. Every order includes professional source audio cleaning before training begins, which removes background noise, inconsistencies and artefacts that would otherwise degrade the final model quality. You simply provide your voice recordings; the technical heavy lifting is done for you.

The entry tier covers datasets of under 5 minutes — ideal for quick voice clones, testing a concept, or straightforward speech-to-speech conversion use cases. Stepping up to the Standard tier extends coverage to longer datasets and unlocks singing vocal training, making it suitable for music productions, AI covers and vocal synthesis projects. The Full tier provides the same expanded scope with additional revision flexibility and the maximum delivery window to allow thorough fine-tuning.

RVC V2 models are used for speech-to-speech conversion: you generate speech via any text-to-speech system, then run it through the trained model to output audio in your target voice. For local use, a compatible GPU (NVIDIA GTX 1000 series or newer, or AMD RX 6000 series or newer with at least 4 GB VRAM) and around 10 GB of free storage are recommended. The model itself is language-agnostic — it can be trained on recordings in any language, though cross-language conversion may show some performance variation.

A dataset of around 10 minutes of clean, consistent audio tends to produce strong results. The cleaner and more consistent your recordings, the better the output — which is exactly why source audio cleaning is included as standard on every tier.

This service is right for music producers creating AI vocal covers, developers building voice-enabled applications, content creators wanting a consistent synthetic speaker, and anyone exploring custom voice synthesis for creative or commercial projects.

Once your order is placed, simply share your dataset via the order chat and the work begins straight away.