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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 from as little as one minute of voice data
  • Few-shot and zero-shot voice cloning workflows
  • Cross-lingual inference for voice transfer across languages
  • Web-based user interface for training and inference
  • Integrated voice separation utilities
  • Dataset segmentation tools for corpus preparation
  • Built-in ASR components for preprocessing and labeling

Ideal Use Cases

  • Rapid prototyping of custom TTS voices
  • Cloning voices for characters and narration
  • Cross-lingual voice adaptation and localization
  • Preparing and cleaning audio datasets
  • Integrating TTS into demos or research projects

Getting Started

  • Clone the project's GitHub repository
  • Install required dependencies listed in the repository
  • Prepare one-minute voice sample(s) for training
  • Launch the WebUI and configure training settings
  • Run the provided training workflow to build the model
  • Use the inference interface for zero-shot or few-shot synthesis

Pricing

Pricing not disclosed in the provided tool data.

Key Information

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