This is stars and forks stats for /shivammehta25/Matcha-TTS repository. As of 29 Apr, 2024 this repository has 168 stars and 20 forks.
🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching Shivam Mehta, Ruibo Tu, Jonas Beskow, Éva Székely, and Gustav Eje Henter This is the official code implementation of 🍵 Matcha-TTS. We propose 🍵 Matcha-TTS, a new approach to non-autoregressive neural TTS, that uses conditional flow matching (similar to rectified flows) to speed up ODE-based speech synthesis. Our method: Is probabilistic Has compact memory footprint Sounds highly natural Is very fast to synthesise from Check out...
🍵 Matcha-TTS: A fast TTS architecture with conditional flow matching Shivam Mehta, Ruibo Tu, Jonas Beskow, Éva Székely, and Gustav Eje Henter This is the official code implementation of 🍵 Matcha-TTS. We propose 🍵 Matcha-TTS, a new approach to non-autoregressive neural TTS, that uses conditional flow matching (similar to rectified flows) to speed up ODE-based speech synthesis. Our method: Is probabilistic Has compact memory footprint Sounds highly natural Is very fast to synthesise from Check out...
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