G P T So V I T S

Introduction

GPT-SoVITS is a text-to-speech model developed by LJ1995, available on Hugging Face. The model leverages pretrained models to convert text into speech, making it suitable for various applications requiring voice synthesis.

Architecture

GPT-SoVITS utilizes a combination of Generative Pre-trained Transformer (GPT) architecture and voice synthesis techniques. The model is designed to efficiently handle the conversion of text inputs into high-quality speech outputs.

Training

The model has been trained using pretrained models available at the RVC-Boss GitHub repository. The training process involves fine-tuning these models to enhance the quality and naturalness of the synthesized speech.

Guide: Running Locally

1. Clone the Repository: Download the GPT-SoVITS repository from GitHub.
2. Install Dependencies: Ensure all necessary libraries and dependencies are installed, which may include PyTorch and other ML libraries.
3. Download Pretrained Models: Acquire the pretrained models from the specified GitHub repository.
4. Run the Model: Execute the model using your local environment to convert text inputs into speech.

To optimize performance, consider using cloud GPU services such as AWS, Google Cloud, or Azure, which can provide the necessary computational power for running the model efficiently.

License

GPT-SoVITS is distributed under the MIT License, allowing for free use, modification, and distribution of the software, provided that appropriate credit is given to the original creators.