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diff --git a/README.md b/README.md
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+++ b/README.md
@@ -21,7 +21,9 @@
📰 News
-2026-01-21: 📣 We open-sourced VibeVoice-ASR, 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).
+2026-01-21: 📣 We open-sourced VibeVoice-ASR, 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).
+- ⭐️ VibeVoice-ASR is natively multilingual — see the [supported languages](docs/vibevoice-asr.md#language-distribution) for details.
+- 🔥 The VibeVoice-ASR [finetuning code](finetuning-asr/README.md) is now available!
2025-12-16: 📣 We added experimental speakers to VibeVoice‑Realtime‑0.5B for exploration, including multilingual voices in nine languages (DE, FR, IT, JP, KR, NL, PL, PT, ES) 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.
diff --git a/docs/vibevoice-asr.md b/docs/vibevoice-asr.md
index 9d2bb4e..16300c9 100644
--- a/docs/vibevoice-asr.md
+++ b/docs/vibevoice-asr.md
@@ -79,6 +79,34 @@ python demo/vibevoice_asr_gradio_demo.py --model_path microsoft/VibeVoice-ASR --
python demo/vibevoice_asr_inference_from_file.py --model_path microsoft/VibeVoice-ASR --audio_files [add a audio path here]
```
+### Results
+
+#### Multilingual
+| Dataset | Language | DER | cpWER | tcpWER | WER |
+|----------------|-----------|------|-------|--------|------|
+| MLC-Challenge | English | 4.28 | 11.48 | 13.02 | 7.99 |
+| MLC-Challenge | French | 3.80 | 18.80 | 19.64 | 15.21 |
+| MLC-Challenge | German | 1.04 | 17.10 | 17.26 | 16.30 |
+| MLC-Challenge | Italian | 2.08 | 15.76 | 15.91 | 13.91 |
+| MLC-Challenge | Japanese | 0.82 | 15.33 | 15.41 | 14.69 |
+| MLC-Challenge | Korean | 4.52 | 15.35 | 16.07 | 9.65 |
+| MLC-Challenge | Portuguese| 7.98 | 29.91 | 31.65 | 21.54 |
+| MLC-Challenge | Russian | 0.90 | 12.94 | 12.98 | 12.40 |
+| MLC-Challenge | Spanish | 2.67 | 10.51 | 11.71 | 8.04 |
+| MLC-Challenge | Thai | 4.09 | 14.91 | 15.57 | 13.61 |
+| MLC-Challenge | Vietnamese| 0.16 | 14.57 | 14.57 | 14.43 |
+
+---
+
+| Dataset | Language | DER | cpWER | tcpWER | WER |
+|----------------|-----------|------|-------|--------|------|
+| AISHELL-4 | Chinese | 6.77 | 24.99 | 25.35 | 21.40 |
+| AMI-IHM | English | 11.92| 20.41 | 20.82 | 18.81 |
+| AMI-SDM | English | 13.43| 28.82 | 29.80 | 24.65 |
+| AliMeeting | Chinese | 10.92| 29.33 | 29.51 | 27.40 |
+| MLC-Challenge | Average | 3.42 | 14.81 | 15.66 | 12.07|
+
+
## Finetuning
LoRA (Low-Rank Adaptation) fine-tuning is supported. See [Finetuning](../finetuning-asr/README.md) for detailed guide.
@@ -86,3 +114,11 @@ LoRA (Low-Rank Adaptation) fine-tuning is supported. See [Finetuning](../finetun
## 📄 License
This project is licensed under the [MIT License](../LICENSE).
+
+
+## Language Distribution
+
+
+
+
+