Add MaskGCT

README.md

@@ -29,6 +29,7 @@
 In addition to the specific generation tasks, Amphion includes several **vocoders** and **evaluation metrics**. A vocoder is an important module for producing high-quality audio signals, while evaluation metrics are critical for ensuring consistent metrics in generation tasks. Moreover, Amphion is dedicated to advancing audio generation in real-world applications, such as building **large-scale datasets** for speech synthesis.
 
 ## 🚀 News
+- **2024/10/19**: We release **MaskGCT**, a fully non-autoregressive TTS model that eliminates the need for explicit alignment information between text and speech supervision. MaskGCT is trained on [Emilia](https://huggingface.co/datasets/amphion/Emilia-Dataset) dataset and achieves SOTA zero-shot TTS perfermance.  [![arXiv](https://img.shields.io/badge/arXiv-Paper-COLOR.svg)](https://arxiv.org/abs/2409.00750) [![hf](https://img.shields.io/badge/%F0%9F%A4%97%20HuggingFace-model-yellow)](https://huggingface.co/amphion/maskgct) [![hf](https://img.shields.io/badge/%F0%9F%A4%97%20HuggingFace-demo-pink)](https://huggingface.co/spaces/amphion/maskgct) [![readme](https://img.shields.io/badge/README-Key%20Features-blue)](models/tts/maskgct/README.md)
 - **2024/09/01**: [Amphion](https://arxiv.org/abs/2312.09911), [Emilia](https://arxiv.org/abs/2407.05361) and [DSFF-SVC](https://arxiv.org/abs/2310.11160) got accepted by IEEE SLT 2024! 🤗
 - **2024/08/28**: Welcome to join Amphion's [Discord channel](https://discord.gg/drhW7ajqAG) to stay connected and engage with our community！
 - **2024/08/20**: [SingVisio](https://arxiv.org/abs/2402.12660) got accepted by Computers & Graphics, [available here](https://www.sciencedirect.com/science/article/pii/S0097849324001936)! 🎉
@@ -50,6 +51,7 @@ In addition to the specific generation tasks, Amphion includes several **vocoder
     - [VALL-E](https://arxiv.org/abs/2301.02111): A zero-shot TTS architecture that uses a neural codec language model with discrete codes.
     - [NaturalSpeech2](https://arxiv.org/abs/2304.09116): An architecture for TTS that utilizes a latent diffusion model to generate natural-sounding voices.
     - [Jets](Jets): An end-to-end TTS model that jointly trains FastSpeech2 and HiFi-GAN with an alignment module.
+    - [MaskGCT](https://arxiv.org/abs/2409.00750): a fully non-autoregressive TTS architecture that eliminates the need for explicit alignment information between text and speech supervision.
 
 ### SVC: Singing Voice Conversion