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--- |
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license: cc-by-4.0 |
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datasets: |
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- KTH/hungarian-single-speaker-tts |
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language: |
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- hu |
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tags: |
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- text-to-speech |
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- audio |
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inference: false |
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--- |
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This vits model was trained on the [KTH/hungarian-single-speaker-tts](https://huggingface.co/datasets/KTH/hungarian-single-speaker-tts) dataset. |
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## CSS10 Hungarian: Single Speaker Speech Dataset |
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The corpus consists of a single speaker, with 4515 segments extracted from [this](https://librivox.org/egri-csillagok-by-geza-gardonyi/) single LibriVox audiobook. It consists about 10 hours of audio data. |
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## Training |
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The model was trained on a single RTX 3090 GPU for 3 days, 200K steps with a batchsize of 16. |
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We saved some checkpoints with the optimizers, so the model could be train further, however we didn't find any noticable effect after step 150K. |
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## Usage |
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The model `diana_final.pth` can be used with [JayWalnut's git repo](https://github.com/jaywalnut310/vits), but you have to modify the `text/cleaners.py` file to contain our `hungarian_cleaners` method. |
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We provided the necessary files in our repo to do so. |
