From 5a7f220662a971190c942d4ff62a08afe2ac30e6 Mon Sep 17 00:00:00 2001 From: Gustav Eje Henter Date: Sun, 14 Jan 2024 15:43:13 +0100 Subject: [PATCH] Update demo page Tweak the text, mention ICASSP acceptance, and update citation information. --- README.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/README.md b/README.md index 4ba223b..5a98bf3 100644 --- a/README.md +++ b/README.md @@ -23,17 +23,17 @@

-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: +We propose 🍵 Matcha-TTS, a new approach to non-autoregressive neural TTS, that uses [conditional flow matching](https://arxiv.org/abs/2210.02747) (similar to [rectified flows](https://arxiv.org/abs/2209.03003)) 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 our [demo page][this_page]. Read our [arXiv preprint for more details][arxiv_link]. +See below for audio examples, or read [our ICASSP 2024 paper][arxiv_link] for more details. Code is available in our [GitHub repository][github_link], along with pre-trained models. -[Try 🍵 Matcha-TTS on HuggingFace 🤗 spaces!][hf_space] +You can also [try 🍵 Matcha-TTS in your browser on HuggingFace 🤗 spaces][hf_space]. [shivam_profile]: https://www.kth.se/profile/smehta [ruibo_profile]: https://www.kth.se/profile/ruibo @@ -510,11 +510,11 @@ Currently loaded stimulus: