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[Transformer](https://arxiv.org/abs/1809.08895) text-to-speech model from fairseq S^2 ([paper](https://arxiv.org/abs/2109.06912)/[code](https://github.com/pytorch/fairseq/tree/main/examples/speech_synthesis)):
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- English
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- 200 male/female voices (random speaker
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- Trained on [Common Voice v4](https://commonvoice.mozilla.org/en/datasets)
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## Usage
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[Transformer](https://arxiv.org/abs/1809.08895) text-to-speech model from fairseq S^2 ([paper](https://arxiv.org/abs/2109.06912)/[code](https://github.com/pytorch/fairseq/tree/main/examples/speech_synthesis)):
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- English
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- 200 male/female voices (random speaker when using the widget)
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- Trained on [Common Voice v4](https://commonvoice.mozilla.org/en/datasets)
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## Usage
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