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Merge pull request #255 from sd983527/main

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Add news about VibeVoice ASR Transformers integration
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Zhiliang Peng
2026-03-06 14:08:47 +08:00
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README.md
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<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. Try it in [Playground](https://aka.ms/vibevoice-asr)</strong>.
<strong>2026-03-06: 🚀 VibeVoice ASR is now part of a <a href="https://github.com/huggingface/transformers/releases/tag/v5.3.0">Transformers release</a>! You can now use our speech recognition model directly through the Hugging Face Transformers library for seamless integration into your projects.</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 in [Playground](https://aka.ms/vibevoice-asr)</strong>.
- ⭐️ VibeVoice-ASR is natively multilingual, supporting over 50 languages — check the [supported languages](docs/vibevoice-asr.md#language-distribution) for details.
- 🔥 The VibeVoice-ASR [finetuning code](finetuning-asr/README.md) is now available!
- ⚡️ **vLLM inference** is now supported for faster inference; see [vllm-asr](docs/vibevoice-vllm-asr.md) for more details.