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GPT-SoVITS

GPT-SoVITS

Clone voice in 5 seconds — GPT-SoVITS enables multilingual AI speech.

Features

Open SourceTTSVoice Conversion

System Requirements

Minimum 8GB RAM. 23GB+ storage recommended.
macOS 15+: Supports both Intel and M-series chips.
Windows 10/11: Intel/AMD GPUs supported, NVIDIA GPU recommended.
Note: For NVIDIA GPUs, install a newer driver.

Introduction

GPT-SoVITS is an advanced text-to-speech (TTS) and voice cloning tool developed by the open-source community team RVC-Boss.

Its standout feature? You can train a high-quality personalized voice model using just 1 minute of audio data, or even achieve "zero-shot" voice synthesis with only a 5-second voice sample—making AI voice creation accessible to everyone.

Features

  1. Zero-Shot Text-to-Speech (TTS)
    Provide just a 5-second voice clip, and the system instantly converts any text into speech that mimics your voice—no training required.

  2. Few-Shot Fine-Tuning
    With about 1 minute of clean audio, you can fine-tune the model to produce highly realistic, natural-sounding speech that closely matches the original speaker’s tone and timbre.

  3. Multilingual Support
    Supports Chinese, English, Japanese, Korean, and Cantonese. Enables cross-lingual inference (e.g., a model trained on Chinese can speak English).

  4. All-in-One Web Interface (WebUI)
    Comes with an intuitive web-based UI that includes tools for automatic audio slicing, denoising, ASR (Automatic Speech Recognition), and vocal/instrumental separation—making dataset preparation and model training easy for beginners.

  5. High-Speed Inference
    Achieves real-time factors (RTF) as low as 0.014–0.028 on mainstream GPUs like RTX 4060 Ti or 4090, meaning it can generate minutes of speech in seconds.

Underlying Technology & Advantages

  • Core Technologies:
    GPT-SoVITS combines two cutting-edge models:

    • GPT: Handles linguistic context and emotional prosody for more expressive speech.
    • SoVITS (Sound of Voice Imitating Text-to-Speech): A VITS-based acoustic model optimized for high-fidelity voice reconstruction and voice conversion.
  • Technical Highlights:

    • Multiple versions from v1 to v4, with v4 fixing metallic artifacts and muffled sound issues in earlier versions, now natively outputting 48kHz high-quality audio.
    • Offers Pro and Plus variants balancing quality, speed, and VRAM usage.
    • Includes optimized text frontends for Chinese (pinyin conversion, punctuation normalization).
  • Key Advantages:

    • Minimal Data Requirement: Only ~1 minute of audio needed for fine-tuning—far less than traditional TTS systems.
    • High Voice Similarity: Even without fine-tuning, the base model captures target speaker characteristics effectively.
    • End-to-End Automation: Fully integrated pipeline from audio preprocessing to training and inference.
    • Cross-Platform Compatibility: Works on Windows, Linux, macOS; supports local deployment, Docker, and cloud environments.