From d244401c9d761b9f059dff3c6a6411e77a0a5edf Mon Sep 17 00:00:00 2001 From: mrfakename Date: Sun, 14 Sep 2025 08:20:15 -0700 Subject: [PATCH] Update README.md --- README.md | 2 ++ 1 file changed, 2 insertions(+) diff --git a/README.md b/README.md index 76ae40e..99ad6d5 100644 --- a/README.md +++ b/README.md @@ -8,6 +8,8 @@ [![Technical Report](https://img.shields.io/badge/Technical-Report-red)](https://arxiv.org/pdf/2508.19205) [![Colab](https://img.shields.io/badge/Colab-Demo-orange?logo=googlecolab)](https://colab.research.google.com/github/vibevoice-community/VibeVoice/blob/main/demo/VibeVoice_colab.ipynb) +https://discord.gg/ZDEYTTRxWG + VibeVoice is a novel framework designed for generating **expressive**, **long-form**, **multi-speaker** conversational audio, such as podcasts, from text. It addresses significant challenges in traditional Text-to-Speech (TTS) systems, particularly in scalability, speaker consistency, and natural turn-taking. A core innovation of VibeVoice is its use of continuous speech tokenizers (Acoustic and Semantic) operating at an ultra-low frame rate of 7.5 Hz. These tokenizers efficiently preserve audio fidelity while significantly boosting computational efficiency for processing long sequences. VibeVoice employs a [next-token diffusion](https://arxiv.org/abs/2412.08635) framework, leveraging a Large Language Model (LLM) to understand textual context and dialogue flow, and a diffusion head to generate high-fidelity acoustic details.