GPT-SoVITS - AI Audio Models Tool

Overview

GPT-SoVITS is a few-shot voice cloning and text-to-speech WebUI that can train a TTS model with just one minute of voice data. It supports zero-shot and few-shot TTS, cross-lingual inference, and includes integrated tools for voice separation, dataset segmentation, and ASR to streamline building and deploying custom TTS models.

Key Features

• Train TTS models with approximately one minute of voice data
• Few-shot and zero-shot text-to-speech modes
• Cross-lingual inference for multi-language output
• Web-based user interface for training and inference
• Integrated voice separation utilities
• Dataset segmentation tools included
• Built-in automatic speech recognition (ASR) components
• Tools to build and deploy custom TTS models

Ideal Use Cases

• Rapid prototyping of custom synthetic voices
• Voice cloning from limited audio samples
• Cross-language TTS experiments and demos
• Preparing and segmenting speech datasets
• End-to-end custom TTS model deployment workflows
• Audio preprocessing and source separation tasks

Getting Started

• Clone the GPT-SoVITS repository from GitHub
• Install dependencies listed in the repository documentation
• Prepare at least one minute of clean voice audio for training
• Open the WebUI and configure model and training parameters
• Start few-shot or zero-shot training with configured settings
• Use integrated tools for dataset segmentation and voice separation
• Export or deploy trained TTS models following repository instructions

Pricing

Pricing not disclosed.

Key Information

• Category: Audio Models
• Type: AI Audio Models Tool