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##### [Shivam Mehta][shivam_profile], [Ruibo Tu][ruibo_profile], [Jonas Beskow][jonas_profile], [Éva Székely][eva_profile], and [Gustav Eje Henter][gustav_profile] ##### [Shivam Mehta][shivam_profile], [Ruibo Tu][ruibo_profile], [Jonas Beskow][jonas_profile], [Éva Székely][eva_profile], and [Gustav Eje Henter][gustav_profile]
<img src="images/logo.png" height="128"/>
We propose Matcha-TTS, a new approach to non-autoregressive neural TTS, that uses conditional flow matching to speed up ODE-based speech synthesis. Our method: We propose Matcha-TTS, a new approach to non-autoregressive neural TTS, that uses conditional flow matching to speed up ODE-based speech synthesis. Our method:
- Is probabilistic - Is probabilistic

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