Open Voice

Introduction

OpenVoice is a versatile instant voice cloning model developed by MYSHELL-AI. It allows users to replicate a speaker's voice using a short audio clip and generate speech across multiple languages with detailed control over voice characteristics such as emotion, accent, rhythm, pauses, and intonation. It also offers zero-shot cross-lingual voice cloning capabilities.

Architecture

OpenVoice is designed to clone voice tone color accurately and flexibly control various voice style parameters. It supports generating speech in multiple languages and accents, even if the reference and target languages are not present in the training dataset.

Training

The model is trained on a massive multi-speaker, multi-lingual dataset, allowing it to perform zero-shot voice cloning across different languages and replicate the tone color and style of the reference speaker with high fidelity.

Guide: Running Locally

To run OpenVoice locally, follow these steps:

1. Clone the Repository:

   git clone https://github.com/myshell-ai/OpenVoice.git
   cd OpenVoice
   

2. Install Dependencies: Ensure you have Python installed, then install necessary packages:

   pip install -r requirements.txt
   

3. Run the Model: Follow the instructions in the USAGE.md file for specific usage commands.

4. Cloud GPUs: For better performance, consider using cloud GPU services like AWS, Google Cloud, or Azure to run the model efficiently.

License

OpenVoice is licensed under the MIT License, permitting wide usage and modification with minimal restrictions.