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--- |
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license: mit |
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language: |
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- en |
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base_model: |
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- coqui/XTTS-v2 |
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--- |
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# Fine-Tuned Xtts Model |
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This project fine-tunes a TTS (Text-to-Speech) model using an mp3 file extracted from a YouTube video. The training was conducted on a Hugging Face Space running locally via Docker. A GPU is recommended for faster training. |
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### Training Data |
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- **Source Video**: [YouTube Video](https://www.youtube.com/watch?v=u6J20_Aem3Y) |
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- **Training Audio**: The mp3 file used for training is included in the `files` directory. |
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### dockerimage |
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Fine tuned with this docker image |
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[FineTune Xtts Docker image](https://hub.docker.com/r/athomasson2/fine_tune_xtts) |
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### Notes |
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- Ensure you have a GPU available for optimal performance during training. |
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- The Docker image pulls the latest version each time it's run. |
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This model is based on xtts v2 which cannot be used commercially as per the [xtts license which is in a limbo state](https://github.com/coqui-ai/TTS/issues/3490) |
