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Shivam Mehta
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app.py
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@@ -129,7 +129,7 @@ We propose 🍵 Matcha-TTS, a new approach to non-autoregressive neural TTS, tha
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* Is very fast to synthesise from
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Check out
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Code is available in our [GitHub repository](https://github.com/shivammehta25/Matcha-TTS), along with pre-trained models.
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Cached examples are available at the bottom of the page.
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* Is very fast to synthesise from
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Check out audio examples below and read our [arXiv preprint for more details](https://arxiv.org/abs/2309.03199).
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Code is available in our [GitHub repository](https://github.com/shivammehta25/Matcha-TTS), along with pre-trained models.
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Cached examples are available at the bottom of the page.
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