X T T S v2

Introduction

ⓍTTS is a voice generation model from Coqui that allows voice cloning into different languages using a quick 6-second audio clip. It powers Coqui Studio and API, supporting 17 languages with features such as emotion and style transfer, cross-language voice cloning, and high-quality audio output.

Architecture

The XTTS-v2 model includes improvements over its predecessor, XTTS-V1, with the addition of Hungarian and Korean languages. It features architectural enhancements for speaker conditioning, allowing the use of multiple speaker references and interpolation between them, leading to better prosody and audio quality.

Training

The model's codebase supports inference and fine-tuning, enabling users to adapt the model for specific needs. The code is available on GitHub for further customization and experimentation.

Guide: Running Locally

To run XTTS-v2 locally, follow these steps:

1. Installation: Ensure you have the necessary dependencies installed, including Python and the Coqui TTS library.
2. Setup: Download the model and configure it using a JSON configuration file.
3. Voice Cloning: Utilize a short audio clip for cloning the voice in the desired language.
4. Execution: Use either the API, command line, or direct model invocation to generate speech.

For efficient processing, consider using cloud GPUs such as those offered by AWS, Google Cloud, or Azure.

License

XTTS-v2 is licensed under the Coqui Public Model License. Further details on the license can be found on Coqui's official website.