From 4ec245e61e98eda5fb5fa7d99ea6adf2f837dba1 Mon Sep 17 00:00:00 2001 From: Gustav Eje Henter Date: Tue, 9 Jan 2024 22:48:16 +0100 Subject: [PATCH] Update README.md with ICASSP acceptance Added ICASSP acceptance to the README and made some tiny tweaks to the text --- README.md | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/README.md b/README.md index 2534da0..a3fc580 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@ -> This is the official code implementation of 🍵 Matcha-TTS. +> 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](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: @@ -26,13 +26,13 @@ We propose 🍵 Matcha-TTS, a new approach to non-autoregressive neural TTS, tha - Sounds highly natural - Is very fast to synthesise from -Check out our [demo page](https://shivammehta25.github.io/Matcha-TTS) and read [our arXiv preprint](https://arxiv.org/abs/2309.03199) for more details. +Check out our [demo page](https://shivammehta25.github.io/Matcha-TTS) and read [our ICASSP 2024 paper](https://arxiv.org/abs/2309.03199) for more details. [Pre-trained models](https://drive.google.com/drive/folders/17C_gYgEHOxI5ZypcfE_k1piKCtyR0isJ?usp=sharing) will be automatically downloaded with the CLI or gradio interface. -[Try 🍵 Matcha-TTS on HuggingFace 🤗 spaces!](https://huggingface.co/spaces/shivammehta25/Matcha-TTS) +You can also [try 🍵 Matcha-TTS in your browser on HuggingFace 🤗 spaces](https://huggingface.co/spaces/shivammehta25/Matcha-TTS). -## Watch the teaser +## Teaser video [![Watch the video](https://img.youtube.com/vi/xmvJkz3bqw0/hqdefault.jpg)](https://youtu.be/xmvJkz3bqw0) @@ -257,11 +257,11 @@ This will write `.wav` audio files to the output directory. If you use our code or otherwise find this work useful, please cite our paper: ```text -@article{mehta2023matcha, - title={Matcha-TTS: A fast TTS architecture with conditional flow matching}, +@inproceedings{mehta2024matcha, + title={Matcha-{TTS}: A fast {TTS} architecture with conditional flow matching}, author={Mehta, Shivam and Tu, Ruibo and Beskow, Jonas and Sz{\'e}kely, {\'E}va and Henter, Gustav Eje}, - journal={arXiv preprint arXiv:2309.03199}, - year={2023} + booktitle={Proc. ICASSP}, + year={2024} } ``` @@ -269,7 +269,7 @@ If you use our code or otherwise find this work useful, please cite our paper: Since this code uses [Lightning-Hydra-Template](https://github.com/ashleve/lightning-hydra-template), you have all the powers that come with it. -Other source code I would like to acknowledge: +Other source code we would like to acknowledge: - [Coqui-TTS](https://github.com/coqui-ai/TTS/tree/dev): For helping me figure out how to make cython binaries pip installable and encouragement - [Hugging Face Diffusers](https://huggingface.co/): For their awesome diffusers library and its components