Applio

Introduction

Applio is a user-friendly and high-quality voice conversion tool designed for artists, developers, and researchers. It offers a versatile platform for transforming voice audio with a focus on ease of use, quality, and performance. Applio supports customization through plugins and configurations, making it suitable for a variety of projects.

Architecture

Applio utilizes models like VITS (Variational Inference Text-to-Speech) and RVC (Real-Time Voice Conversion) to enable voice conversion. It leverages datasets such as CSTR-Edinburgh/vctk for training and operates on a base model like lj1995/VoiceConversionWebUI. The tool integrates with a Gradio interface for user interaction.

Training

Applio's models are trained using publicly available datasets, such as VCTK, ensuring compliance with open data regulations. Users are encouraged to monitor training processes through TensorBoard for data visualization and analysis.

Guide: Running Locally

1. Installation

   • Windows: Double-click run-install.bat.
   • Linux/macOS: Execute run-install.sh.

2. Running Applio

   • Windows: Double-click run-applio.bat.
   • Linux/macOS: Run run-applio.sh.
   • This will open the Gradio interface in the default web browser.

3. Optional: TensorBoard Monitoring

   • Windows: Run run-tensorboard.bat.
   • Linux/macOS: Run run-tensorboard.sh.

For detailed instructions, refer to the documentation.

Cloud GPUs: For enhanced performance, consider using cloud GPU services such as AWS EC2, Google Cloud, or Azure.

License

Applio is available under the MIT License. Users are responsible for complying with applicable copyrights and regulations when using Applio for commercial purposes. For support and ethical use confirmation, contact support@applio.org.