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add ASR playground link

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YaoyaoChang
2026-01-21 10:26:17 -08:00
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README.md
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<h3>📰 News</h3> <h3>📰 News</h3>
<strong>2026-01-21: 📣 We open-sourced <a href="docs/vibevoice-asr.md"><strong>VibeVoice-ASR</strong></a>, a unified speech-to-text model designed to handle 60-minute long-form audio in a single pass, generating structured transcriptions containing Who (Speaker), When (Timestamps), and What (Content), with support for User-Customized Context.</strong> <strong>2026-01-21: 📣 We open-sourced <a href="docs/vibevoice-asr.md"><strong>VibeVoice-ASR</strong></a>, a unified speech-to-text model designed to handle 60-minute long-form audio in a single pass, generating structured transcriptions containing Who (Speaker), When (Timestamps), and What (Content), with support for User-Customized Context. [Try it.](https://aka.ms/vibevoice-asr)</strong>
2025-12-16: 📣 We added more experimental speakers for exploration, including multilingual voices and 11 distinct English style voices. [Try it](docs/vibevoice-realtime-0.5b.md#optional-more-experimental-voices). More speaker types will be added over time. 2025-12-16: 📣 We added more experimental speakers for exploration, including multilingual voices and 11 distinct English style voices. [Try it](docs/vibevoice-realtime-0.5b.md#optional-more-experimental-voices). More speaker types will be added over time.
docs/vibevoice-asr.md
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# VibeVoice-ASR # VibeVoice-ASR
[![Hugging Face](https://img.shields.io/badge/HuggingFace-Collection-orange?logo=huggingface)](https://huggingface.co/microsoft/VibeVoice-ASR)
[![Live Playground](https://img.shields.io/badge/Live-Playground-green?logo=gradio)](https://aka.ms/vibevoice-asr)
**VibeVoice-ASR** is the latest addition to the **VibeVoice** family. While the original VibeVoice / VibeVoice-Realtime focused on expressive TTS, **VibeVoice-ASR** focuses on understanding long-form speech with high precision and rich metadata. **VibeVoice-ASR** is the latest addition to the **VibeVoice** family. While the original VibeVoice / VibeVoice-Realtime focused on expressive TTS, **VibeVoice-ASR** focuses on understanding long-form speech with high precision and rich metadata.
It is a unified speech-to-text model designed to handle **1-hour long-form audio** in a single pass, generating structured transcriptions containing **Who (Speaker), When (Timestamps), and What (Content)**, with support for **User-Customized Context**. It is a unified speech-to-text model designed to handle **1-hour long-form audio** in a single pass, generating structured transcriptions containing **Who (Speaker), When (Timestamps), and What (Content)**, with support for **User-Customized Context**.
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- **📝 Rich Transcription (Who, When, What)**: - **📝 Rich Transcription (Who, When, What)**:
The model performs ASR, Diarization, and Timestamping simultaneously. The output is a structured sequence indicating *who* said *what* at *which time*. The model performs ASR, Diarization, and Timestamping simultaneously. The output is a structured sequence indicating *who* said *what* at *which time*.
[Try it here.](https://aka.ms/vibevoice-asr)
## 🏗️ Model Architecture ## 🏗️ Model Architecture
<p align="center"> <p align="center">