GPT-SoVITS-windows-package
Maintainer: lj1995
48
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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-windows-package model is a text-to-audio AI model developed by the maintainer lj1995. It is based on the GPT-SoVITS model, which can perform few-shot fine-tuning for text-to-speech (TTS) in just 1 minute, and zero-shot voice cloning in as little as 5 seconds. The maintainer is now providing a Windows package of this model for easier user access.
Model inputs and outputs
The GPT-SoVITS-windows-package model takes text as input and generates corresponding audio output. It can quickly adapt to new voices through fine-tuning or zero-shot cloning, making it a versatile TTS solution.
Inputs
- Text prompts for conversion to speech
Outputs
- Audio files containing the generated speech
Capabilities
The GPT-SoVITS-windows-package model can perform rapid TTS adaptation, allowing users to fine-tune the model on just 1 minute of reference audio or clone a voice in as little as 5 seconds. This makes it a powerful tool for applications requiring customized or on-the-fly voice generation.
What can I use it for?
The GPT-SoVITS-windows-package model can be useful for a variety of text-to-speech applications, such as audiobook creation, voice-over work, and personalized virtual assistants. Its ability to quickly adapt to new voices also makes it suitable for audio dubbing, character voice generation, and other voice-based content creation tasks.
Things to try
Experiment with the GPT-SoVITS-windows-package model's few-shot fine-tuning and zero-shot cloning capabilities to see how quickly you can generate custom voices for your projects. Try pairing it with other AI models like GPT-SoVITS-STAR or voicecraft to explore the possibilities of AI-powered speech synthesis and editing.
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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