Audio and video · Independent · 22 Oct 2026

RVC-Boss/GPT-SoVITS

1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

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GPT-SoVITS: voice cloning toolkit. Clones voices and generates speech from text.

In simple English

This tool lets you clone a human voice using a short audio recording. You give the program one minute of someone speaking, and it learns their voice. Then you type any text, and the program reads it out loud in that exact voice. It includes a web page interface so you can slice audio, remove background music, and train models without writing code. You need a computer with a dedicated graphics card to run it well. The software is free to use under an open-source licence.

What it is

GPT-SoVITS is a few-shot voice cloning and text-to-speech toolkit with an integrated graphical control panel. It combines a language model for text processing with a neural audio synthesizer to generate realistic speech in multiple languages.

What it is good for

Solo builders who need custom voiceovers for videos, podcasts, games, or applications without hiring voice actors.

Stars63k
LicenceMIT
Latest20250606v2pro (2025-06-06)checked 22 Oct 2026
Last code change2026-10-19
Written inPython
Setup effort
4 / 5
Payoff
5 / 5
Good
  • Clones voices accurately from very short audio samples.
  • Includes a browser-based visual interface for all training steps.
  • Supports multiple languages including English, Chinese, Japanese, Korean, and Cantonese.
Watch for
  • Requires a powerful dedicated graphics card with plenty of memory to train models.
  • Large download size for pretrained models and supporting tools.
  • Complex setup process for manual installations outside of the packaged versions.
Replaces

Hiring voice actors or manual audio editing for voiceovers.

Works well with

FFmpeg (a command-line tool for converting and processing audio and video files).

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Install
conda create -n GPTSoVits python=3.10
conda activate GPTSoVits
bash install.sh --device CUDA --source HF --download-uvr5

Independent: reviewed for Repo Radar outside the daily editions. Every independent repository

On Stack Radar: AI & Automation › AI Models & Inference › Speech & Voice Models.

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