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# Initially taken from Github's Python gitignore file
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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# tests and logs
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tests/fixtures/cached_*_text.txt
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logs/
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lightning_logs/
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lang_code_data/
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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.hypothesis/
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.pytest_cache/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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.python-version
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# celery beat schedule file
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celerybeat-schedule
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# vscode
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.vs
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.vscode
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# Pycharm
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.idea
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# TF code
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tensorflow_code
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# Models
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proc_data
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# examples
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runs
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/runs_old
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/wandb
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/examples/runs
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/examples/**/*.args
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/examples/rag/sweep
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# data
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/data
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serialization_dir
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# emacs
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*.*~
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debug.env
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# vim
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.*.swp
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#ctags
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tags
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# pre-commit
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.pre-commit*
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# .lock
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*.lock
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# DS_Store (MacOS)
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.DS_Store
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# ruff
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.ruff_cache
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# our proj
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/output/
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/outputs/
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/checkpoint/
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/checkpoints/
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exp
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.gradio/
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MIT License
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Copyright (c) 2025 Microsoft
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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<div align="center">
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## 🎙️ VibeVoice: A Frontier Long Conversational Text-to-Speech Model
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[](https://microsoft.github.io/VibeVoice)
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[](https://huggingface.co/collections/microsoft/vibevoice-68a2ef24a875c44be47b034f)
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[](https://arxiv.org/pdf/2508.19205)
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</div>
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<div align="center">
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<picture>
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<source media="(prefers-color-scheme: dark)" srcset="Figures/VibeVoice_logo_white.png">
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<img src="Figures/VibeVoice_logo.png" alt="VibeVoice Logo" width="300">
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</picture>
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</div>
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**2025-09-05: VibeVoice is an open-source research framework intended to advance collaboration in the speech synthesis community. After release, we discovered instances where the tool was used in ways inconsistent with the stated intent. Since responsible use of AI is one of Microsoft’s guiding principles, we have disabled this repo until we are confident that out-of-scope use is no longer possible.**
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<br>
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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.
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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.
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The model can synthesize speech up to **90 minutes** long with up to **4 distinct speakers**, surpassing the typical 1-2 speaker limits of many prior models.
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<p align="left">
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<img src="Figures/MOS-preference.png" alt="MOS Preference Results" height="260px">
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<img src="Figures/VibeVoice.jpg" alt="VibeVoice Overview" height="250px" style="margin-right: 10px;">
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</p>
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### 🎵 Demo Examples
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**Video Demo**
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We produced this video with [Wan2.2](https://github.com/Wan-Video/Wan2.2). We sincerely appreciate the Wan-Video team for their great work.
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**English**
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<div align="center">
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https://github.com/user-attachments/assets/0967027c-141e-4909-bec8-091558b1b784
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</div>
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**Chinese**
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<div align="center">
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https://github.com/user-attachments/assets/322280b7-3093-4c67-86e3-10be4746c88f
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</div>
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**Cross-Lingual**
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<div align="center">
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https://github.com/user-attachments/assets/838d8ad9-a201-4dde-bb45-8cd3f59ce722
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</div>
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**Spontaneous Singing**
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<div align="center">
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https://github.com/user-attachments/assets/6f27a8a5-0c60-4f57-87f3-7dea2e11c730
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</div>
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**Long Conversation with 4 people**
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<div align="center">
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https://github.com/user-attachments/assets/a357c4b6-9768-495c-a576-1618f6275727
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</div>
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For more examples, see the [Project Page](https://microsoft.github.io/VibeVoice).
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## Risks and limitations
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While efforts have been made to optimize it through various techniques, it may still produce outputs that are unexpected, biased, or inaccurate. VibeVoice inherits any biases, errors, or omissions produced by its base model (specifically, Qwen2.5 1.5b in this release).
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Potential for Deepfakes and Disinformation: High-quality synthetic speech can be misused to create convincing fake audio content for impersonation, fraud, or spreading disinformation. Users must ensure transcripts are reliable, check content accuracy, and avoid using generated content in misleading ways. Users are expected to use the generated content and to deploy the models in a lawful manner, in full compliance with all applicable laws and regulations in the relevant jurisdictions. It is best practice to disclose the use of AI when sharing AI-generated content.
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English and Chinese only: Transcripts in languages other than English or Chinese may result in unexpected audio outputs.
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Non-Speech Audio: The model focuses solely on speech synthesis and does not handle background noise, music, or other sound effects.
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Overlapping Speech: The current model does not explicitly model or generate overlapping speech segments in conversations.
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We do not recommend using VibeVoice in commercial or real-world applications without further testing and development. This model is intended for research and development purposes only. Please use responsibly.
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<!-- BEGIN MICROSOFT SECURITY.MD V1.0.0 BLOCK -->
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## Security
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Microsoft takes the security of our software products and services seriously, which
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includes all source code repositories in our GitHub organizations.
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**Please do not report security vulnerabilities through public GitHub issues.**
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For security reporting information, locations, contact information, and policies,
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please review the latest guidance for Microsoft repositories at
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[https://aka.ms/SECURITY.md](https://aka.ms/SECURITY.md).
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<!-- END MICROSOFT SECURITY.MD BLOCK -->
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