GPT-SoVITS-STAR
Maintainer: baicai1145
42
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| Property | Value |
|---|---|
| Run this model | Run on HuggingFace |
| API spec | View on HuggingFace |
| Github link | No Github link provided |
| Paper link | No paper link provided |
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Model overview
The GPT-SoVITS-STAR model is a text-to-audio generation model created by the model maintainer baicai1145. It is part of a collection of 52 characters that have been updated to version 2.0 and will continue to be updated. The model is currently free to use and the maintainer is actively collecting reference audio to improve the model.
Some similar models include audio-ldm for text-to-audio generation using latent diffusion models, openvoice for versatile instant voice cloning, and qwen2-7b-instruct for a 7 billion parameter language model fine-tuned for chat completions.
Model inputs and outputs
Inputs
- Text: The model takes textual input that it then converts to audio.
Outputs
- Audio: The model generates audio output corresponding to the provided textual input.
Capabilities
The GPT-SoVITS-STAR model is capable of converting text to high-quality audio. It can generate voices for 52 different characters and the maintainer is continuously expanding the model's capabilities by adding more reference audio.
What can I use it for?
The GPT-SoVITS-STAR model can be used to create text-to-speech applications, audio narration for content, and voice acting for games or animations. The maintainer is also looking to develop a web-based version of the model in the future, so it may become more accessible for a wider range of users and use cases.
Things to try
One interesting aspect of the GPT-SoVITS-STAR model is the maintainer's request for users to provide reference audio samples. This suggests the model may benefit from additional data to improve its performance and expand its character repertoire. Users could experiment with providing their own voice samples to see how the model adapts and integrates new audio inputs.
This summary was produced with help from an AI and may contain inaccuracies - check out the links to read the original source documents!
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