A C G T T S

Introduction

ACGTTS is a text-to-speech model repository developed by the user Chinoll on Hugging Face. This model supports various voices, including characters from different languages, primarily focusing on Chinese (with strong dialect influence) and Japanese.

Architecture

The model architecture supports a wide range of voices, including both old and new voice options. The voices are indexed numerically, featuring a mix of fictional character voices and a unique "中文注入声线" (Chinese infused voice).

Training

Details regarding the specific training methodologies or datasets used for ACGTTS are not provided in the README file. Generally, TTS models like this one are trained using large datasets of paired text and audio recordings to learn the correlation between written language and spoken language.

Guide: Running Locally

To run ACGTTS locally, follow these steps:

1. Clone the Repository:
   Clone the ACGTTS repository from GitHub:

   git clone https://github.com/chinoll/ACGTTS
   

2. Install Dependencies:
   Navigate into the cloned directory and install any required dependencies. This typically involves setting up a Python environment and installing packages using pip.

3. Run the Model:
   Follow any provided scripts or documentation within the repository to start generating audio from text inputs.

4. Cloud GPU Suggestion:
   For better performance, especially with larger models, consider using cloud GPU services like AWS (Amazon Web Services), Google Cloud Platform, or Azure.

License

ACGTTS is available under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License (cc-by-nc-sa-4.0). This allows for sharing and adapting the work non-commercially, as long as appropriate credit is given and any derivatives are licensed under identical terms.