Applio

Welcome to Applio, the ultimate voice cloning tool meticulously optimized for unrivaled power, modularity, and a user-friendly experience.

Content Table

• Installation
  • Windows
  • Linux
  • Makefile
• Usage
  • Windows
  • Linux
  • Makefile
• Repository Enhancements
• Credits
  • Contributors

Installation

Download the latest version from GitHub Releases or use Precompiled Versions.

Windows

./run-install.bat

Linux

chmod +x run-install.sh
./run-install.sh

Makefile (for platforms such as Paperspace)

make run-install

Usage

Visit Applio Documentation for a detailed UI usage explanation.

Windows

./run-applio.bat

Linux

chmod +x run-applio.sh
./run-applio.sh

Makefile (for platforms such as Paperspace)

make run-applio

Repository Enhancements

This repository has undergone significant enhancements to improve its functionality and maintainability:

• Modular Codebase: Restructured codebase following a modular approach for better organization, readability, and maintenance.
• Hop Length Implementation: Implemented hop length, courtesy of @Mangio621, boosting efficiency and performance, especially on Crepe (formerly Mangio-Crepe).
• Translations in 30+ Languages: Added support for translations in over 30 languages, enhancing accessibility for a global audience.
• Cross-Platform Compatibility: Ensured seamless operation across various platforms for a consistent user experience.
• Optimized Requirements: Fine-tuned project requirements for enhanced performance and resource efficiency.
• Streamlined Installation: Simplified installation process for a user-friendly setup experience.
• Hybrid F0 Estimation: Introduced a personalized 'hybrid' F0 estimation method utilizing nanmedian, combining F0 calculations from various methods to achieve optimal results.
• Easy-to-Use UI: Implemented a user-friendly interface for intuitive interaction.
• Optimized Code & Dependencies: Enhanced code and streamlined dependencies for improved efficiency.
• Plugin System: Introduced a plugin system for extending functionality and customization.

These enhancements contribute to a more robust and scalable codebase, making the repository more accessible for contributors and users alike.

Contributions

• Backend Contributions: If you want to contribute to the backend, make your pull requests here.
• Frontend Contributions: For interface or script-related contributions, feel free to contribute to this repository.

We appreciate all contributions ❤️

Planned Features

• Implement: Support training for Apple Devices
• Implement: rmvpe_gpu
• Implement: Overtraining detector
• Implement: Training stop
• Fix: Model fusion

Credits

• ContentVec by auspicious3000
• HIFIGAN by jik876
• Gradio by gradio-app
• FFmpeg by FFmpeg
• audio-slicer by openvpi
• Ilaria-Audio-Analyzer by TheStingerX
• gradio-screen-recorder by gstaff
• VITS by jaywalnut310
• RMVPE by Dream-High
• FCPE by CNChTu
• So-Vits-SVC by svc-develop-team
• Harmonify by Eempostor
• RVC_CLI by blaise-tk
• Retrieval-based-Voice-Conversion-WebUI by RVC-Project
• Mangio-RVC-Fork by Mangio621

Contributors