Real-Time Voice Cloning
Real-Time Voice Cloning — A deep learning framework for real-time voice cloning and arbitrary speech generation in 5 seconds.
Overview
Real-Time Voice Cloning is an open-source Python project that enables the cloning of a voice in just 5 seconds to generate arbitrary speech in real-time. It implements the SV2TTS deep learning framework and utilizes a vocoder for real-time audio synthesis. This project stands out for its ability to create a digital voice representation from a few seconds of audio and use it to synthesize speech from text.
Key Features
- Implementation of the SV2TTS framework for voice cloning
- Real-time vocoder for audio synthesis
- Three-stage deep learning process for voice representation and speech generation
- Pretrained models for quick setup and use
Use Cases
- Voice actors and content creators can use this tool to generate custom voiceovers for videos and audio content.
- Researchers and developers in the field of speech synthesis can utilize this project for experimental purposes and further development.
- Educational institutions can use this tool to teach students about the principles of voice cloning and deep learning.
Advantages
- Fast voice cloning process, taking only 5 seconds to create a digital voice representation
- Real-time speech generation capability
- Open-source and community-driven, allowing for continuous improvement and updates
Limitations / Considerations
- The quality of the cloned voice may not match the state-of-the-art commercial solutions
- Requires a certain level of technical expertise to set up and use effectively
- May require a GPU for optimal training and inference speed, although not mandatory
Similar / Related Projects
- Chatterbox: A similar project that is up to date with the 2025 state-of-the-art in voice cloning.
- WaveRNN: A project focused on efficient neural audio synthesis, used as a vocoder in this project.
- Tacotron: A project towards end-to-end speech synthesis, used as a synthesizer in this project.
Basic Information
- GitHub: https://github.com/CorentinJ/Real-Time-Voice-Cloning
- Stars: 54,883
- License: Unknown
- Last Commit: 2025-08-20
Requirements:
- Python 3.7 (Python 3.5 or greater should work)
- FFmpeg for reading audio files
- PyTorch for machine learning operations
- Additional requirements listed in the project's
requirements.txt
file
📊 Project Information
- Project Name: Real-Time-Voice-Cloning
- GitHub URL: https://github.com/CorentinJ/Real-Time-Voice-Cloning
- Programming Language: Python
- ⭐ Stars: 54,883
- 🍴 Forks: 9,057
- 📅 Created: 2019-05-26
- 🔄 Last Updated: 2025-08-20
🏷️ Project Topics
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🔗 Related Resource Links
📚 Documentation
🌐 Related Websites
- Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
- master's thesis
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- 1806.04558
- 1802.08435
This article is automatically generated by AI based on GitHub project information and README content analysis