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README.md

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 ## VibeVoice: A Frontier Open-Source Text-to-Speech Model
 
+> This repository contains a copy of model weights obtained from ModelScope([microsoft/VibeVoice-Large](https://www.modelscope.cn/models/microsoft/VibeVoice-Large)).
+> The license for this model is the `MIT License`, **which permits redistribution**.
+> 
+> My understanding of the MIT License, which is consistent with the broader open-source community's consensus,
+> is that it grants the right to distribute copies of the software and its derivatives.
+> Therefore, I am lawfully exercising the right to redistribute this model.
+>
+> If you are a rights holder and believe this understanding of the license is incorrect, please submit a DMCA complaint to Hugging Face at [email protected]_
+
 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 framework, leveraging a Large Language Model (LLM) to understand textual context and dialogue flow, and a diffusion head to generate high-fidelity acoustic details.