XTTS-v2
Maintainer: coqui
1.3K
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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
XTTS-v2 is a text-to-speech (TTS) model developed by Coqui, a leading AI research company. It is an improved version of their previous xtts-v1 model, which could clone voices using just a 3-second audio clip. XTTS-v2 builds on this capability, allowing voice cloning with just a 6-second clip. It also supports 17 languages, including English, Spanish, French, German, Italian, and more.
Compared to similar models like Whisper, which is a speech recognition model, XTTS-v2 is focused specifically on generating high-quality synthetic speech. It can also perform emotion and style transfer by cloning voices, as well as cross-language voice cloning.
Model inputs and outputs
Inputs
- Audio clip: A 6-second audio clip used to clone the voice
- Text: The text to be converted to speech
Outputs
- Synthesized speech: High-quality, natural-sounding speech in the cloned voice
Capabilities
XTTS-v2 can generate speech in 17 different languages, and it can clone voices with just a short 6-second audio sample. This makes it useful for a variety of applications, such as audio dubbing, text-to-speech, and voice-based user interfaces. The model also supports emotion and style transfer, allowing users to customize the tone and expression of the generated speech.
What can I use it for?
XTTS-v2 could be used in a wide range of applications, from creating custom audiobooks and podcasts to building voice-controlled assistants and translation services. Its ability to clone voices could be particularly useful for dubbing foreign language content or creating personalized audio experiences.
The model is available through the Coqui API and can be integrated into a variety of projects and platforms. Coqui also provides a demo space where users can try out the model and explore its capabilities.
Things to try
One interesting aspect of XTTS-v2 is its ability to perform cross-language voice cloning. This means you can clone a voice in one language and use it to generate speech in a different language. This could be useful for creating multilingual content or for providing language accessibility features.
Another interesting feature is the model's support for emotion and style transfer. By using different reference audio clips, you can make the generated speech sound more expressive, excited, or even somber. This could be useful for creating more engaging and natural-sounding audio content.
Overall, XTTS-v2 is a powerful and versatile TTS model that could be a valuable tool for a wide range of applications. Its ability to clone voices with minimal training data and its multilingual capabilities make it a compelling option for developers and content creators alike.
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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