Voice Conversion Web U I

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VoiceConversionWebUI

Introduction

VoiceConversionWebUI is a tool designed to facilitate voice conversion using ONNX models. It aims to provide a user-friendly interface for voice conversion tasks.

Architecture

The application leverages ONNX models to perform efficient and scalable voice conversion operations. The architecture is designed to support a variety of models, allowing for flexibility and extensibility in processing different voice inputs.

Training

The details regarding the training process of the models used within VoiceConversionWebUI are not specified in the available documentation. Users are encouraged to consult the model card or community discussions for information on training datasets and methodologies.

Guide: Running Locally

To run VoiceConversionWebUI locally, follow these steps:

  1. Clone the Repository: Use git clone to download the repository to your local machine.
  2. Install Dependencies: Ensure all necessary dependencies are installed. This typically involves using package managers like pip or conda.
  3. Run the Application: Execute the application by running the main script, which is usually a Python file. Check for any specific instructions in the repository's README.
  4. Utilize Cloud GPUs: For enhanced performance, especially with large models, consider using cloud GPUs from providers like AWS, GCP, or Azure.

License

VoiceConversionWebUI is licensed under the MIT License, allowing for wide usage and modification with minimal restrictions.

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