| --- |
| language: |
| - en |
| - zh |
| - es |
| - pt |
| - de |
| - ja |
| - ko |
| - fr |
| - ru |
| - id |
| - sv |
| - it |
| - he |
| - nl |
| - pl |
| - no |
| - tr |
| - th |
| - ar |
| - hu |
| - ca |
| - cs |
| - da |
| - fa |
| - af |
| - hi |
| - fi |
| - et |
| - aa |
| - el |
| - ro |
| - vi |
| - bg |
| - is |
| - sl |
| - sk |
| - lt |
| - sw |
| - uk |
| - kl |
| - lv |
| - hr |
| - ne |
| - sr |
| - tl |
| - yi |
| - ms |
| - ur |
| - mn |
| - hy |
| - jv |
| license: mit |
| pipeline_tag: automatic-speech-recognition |
| tags: |
| - ASR |
| - Transcriptoin |
| - Diarization |
| - Speech-to-Text |
| library_name: transformers |
| --- |
| |
|
|
| ## VibeVoice-ASR |
| [](https://github.com/microsoft/VibeVoice) |
| [](https://aka.ms/vibevoice-asr) |
| [](https://arxiv.org/pdf/2601.18184) |
|
|
| **VibeVoice-ASR** is 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 **Customized Hotwords** and over **50 languages**. |
|
|
| ➡️ **Code:** [microsoft/VibeVoice](https://github.com/microsoft/VibeVoice)<br> |
| ➡️ **Demo:** [VibeVoice-ASR-Demo](https://aka.ms/vibevoice-asr)<br> |
| ➡️ **Report:** [VibeVoice-ASR Technical Report](https://arxiv.org/pdf/2601.18184)<br> |
| ➡️ **Finetuning:** [Finetuning](https://github.com/microsoft/VibeVoice/blob/main/finetuning-asr/README.md)<br> |
| ➡️ **vLLM:** [vLLM-VibeVoice-ASR](https://github.com/microsoft/VibeVoice/blob/main/docs/vibevoice-vllm-asr.md)<br> |
|
|
| <p align="left"> |
| <img src="figures/VibeVoice_ASR_archi.png" alt="VibeVoice-ASR Architecture" height="250px"> |
| </p> |
|
|
|
|
| ## 🔥 Key Features |
|
|
|
|
| - **🕒 60-minute Single-Pass Processing**: |
| Unlike conventional ASR models that slice audio into short chunks (often losing global context), VibeVoice ASR accepts up to **60 minutes** of continuous audio input within 64K token length. This ensures consistent speaker tracking and semantic coherence across the entire hour. |
|
|
| - **👤 Customized Hotwords**: |
| Users can provide customized hotwords (e.g., specific names, technical terms, or background info) to guide the recognition process, significantly improving accuracy on domain-specific content. |
|
|
| - **📝 Rich Transcription (Who, When, What)**: |
| The model jointly performs ASR, diarization, and timestamping, producing a structured output that indicates *who* said *what* and *when*. |
| |
| - **🌍 Multilingual & Code-Switching Support**: |
| It supports over 50 languages, requires no explicit language setting, and natively handles code-switching within and across utterances. Language distribution can be found [here](#language-distribution). |
|
|
|
|
|
|
| ## Evaluation |
| <p align="center"> |
| <img src="figures/DER.jpg" alt="DER" width="70%"> |
| <img src="figures/cpWER.jpg" alt="cpWER" width="70%"> |
| <img src="figures/tcpWER.jpg" alt="tcpWER" width="70%"> |
| </p> |
|
|
| ## Installation and Usage |
|
|
| Please refer to [GitHub README](https://github.com/microsoft/VibeVoice/blob/main/docs/vibevoice-asr.md#installation). |
|
|
| ## Language Distribution |
| <p align="center"> |
| <img src="figures/language_distribution_horizontal.png" alt="Language Distribution" width="80%"> |
| </p> |
|
|
| ## License |
| This project is licensed under the MIT License. |
|
|
| ## Contact |
| This project was conducted by members of Microsoft Research. We welcome feedback and collaboration from our audience. If you have suggestions, questions, or observe unexpected/offensive behavior in our technology, please contact us at VibeVoice@microsoft.com. |
| If the team receives reports of undesired behavior or identifies issues independently, we will update this repository with appropriate mitigations. |
