openvoice
Maintainer: chenxwh
46
| Property | Value |
|---|---|
| Run this model | Run on Replicate |
| API spec | View on Replicate |
| Github link | View on Github |
| Paper link | View on Arxiv |
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Model overview
The openvoice model is a versatile instant voice cloning model developed by the team at MyShell.ai. As detailed in their paper and on the website, the key advantages of openvoice are accurate tone color cloning, flexible voice style control, and zero-shot cross-lingual voice cloning. This model has been powering the instant voice cloning capability on the MyShell platform since May 2023, with tens of millions of uses by global users.
The openvoice model is similar to other voice cloning models like [object Object] and [object Object], which also focus on creating realistic voice clones. However, openvoice stands out with its advanced capabilities in voice style control and cross-lingual cloning. The model is also related to speech recognition models like [object Object] and [object Object], which have different use cases focused on transcription.
Model inputs and outputs
The openvoice model takes three main inputs: the input text, a reference audio file, and the desired language. The text is what will be spoken by the cloned voice, the reference audio provides the tone color to clone, and the language specifies the language of the generated speech.
Inputs
- Text: The input text that will be spoken by the cloned voice
- Audio: A reference audio file that provides the tone color to be cloned
- Language: The desired language of the generated speech
Outputs
- Audio: The generated audio with the cloned voice speaking the input text
Capabilities
The openvoice model excels at accurately cloning the tone color and vocal characteristics of the reference audio, while also enabling flexible control over the voice style, such as emotion and accent. Notably, the model can perform zero-shot cross-lingual voice cloning, meaning it can generate speech in languages not seen during training.
What can I use it for?
The openvoice model can be used for a variety of applications, such as creating personalized voice assistants, dubbing foreign language content, or generating audio for podcasts and audiobooks. By leveraging the model's ability to clone voices and control style, users can create unique and engaging audio content tailored to their needs.
Things to try
One interesting thing to try with the openvoice model is to experiment with different reference audio files and see how the cloned voice changes. You can also try adjusting the style parameters, such as emotion and accent, to create different variations of the cloned voice. Additionally, the model's cross-lingual capabilities allow you to generate speech in languages you may not be familiar with, opening up new creative possibilities.
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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