update README

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YaoyaoChang
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- **📝 Rich Transcription (Who, When, What)**:
The model jointly performs ASR, diarization, and timestamping, producing a structured output that indicates *who* said *what* and *when*.
<p align="center">
<img src="Figures/DER.jpg" alt="DER" width="50%"><br>
<img src="Figures/cpWER.jpg" alt="cpWER" width="50%"><br>
<img src="Figures/tcpWER.jpg" alt="tcpWER" width="50%">
</p>
[📖 Documentation](docs/vibevoice-asr.md) | [🤗 Hugging Face](https://huggingface.co/microsoft/VibeVoice-ASR) | [🎮 Playground](https://aka.ms/vibevoice-asr)
@@ -78,12 +84,6 @@ For more information, demos, and examples, please visit our [Project Page](https
https://github.com/user-attachments/assets/acde5602-dc17-4314-9e3b-c630bc84aefa
</div>
<p align="center">
<img src="Figures/DER.jpg" alt="DER" width="50%"><br>
<img src="Figures/cpWER.jpg" alt="cpWER" width="50%"><br>
<img src="Figures/tcpWER.jpg" alt="tcpWER" width="50%">
</p>
### 2. 🎙️ [VibeVoice-TTS](docs/vibevoice-tts.md) - Long-form Multi-speaker TTS
@@ -102,11 +102,11 @@ https://github.com/user-attachments/assets/acde5602-dc17-4314-9e3b-c630bc84aefa
Supports English, Chinese and other languages.
[📖 Documentation](docs/vibevoice-tts.md) | [🤗 Hugging Face](https://huggingface.co/microsoft/VibeVoice-1.5B) | [📊 Paper](https://arxiv.org/pdf/2508.19205)
<div align="center">
<img src="Figures/VibeVoice-TTS-results.jpg" alt="VibeVoice Results" width="80%">
</div>
[📖 Documentation](docs/vibevoice-tts.md) | [🤗 Hugging Face](https://huggingface.co/microsoft/VibeVoice-1.5B) | [📊 Paper](https://arxiv.org/pdf/2508.19205)
**English**
<div align="center">