| --- |
| title: Qwen3-ASR Demo |
| emoji: 🎙️ |
| colorFrom: blue |
| colorTo: purple |
| sdk: gradio |
| sdk_version: 6.8.0 |
| app_file: app.py |
| pinned: false |
| license: apache-2.0 |
| --- |
| |
| # Qwen3-ASR Demo |
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| This Space demonstrates **Qwen3-ASR-1.7B**, a state-of-the-art automatic speech recognition model from the Qwen team, powered by **vLLM** for high-speed inference. |
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| ## Features |
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| - **30+ Language Support**: Chinese, Cantonese, English, Japanese, Korean, Arabic, German, French, Spanish, Portuguese, and many more |
| - **Word/Character-level Timestamps**: Accurate timestamp alignment for each word (English) or character (Chinese) |
| - **Interactive Visualization**: Click on each word/character to hear the corresponding audio segment |
| - **vLLM Backend**: Fast inference speed for real-time transcription |
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| ## How to Use |
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| 1. Upload an audio file or record using your microphone |
| 2. Select a language or leave "Auto" for automatic detection |
| 3. Enable "Timestamps" for visualization (recommended) |
| 4. Click "Transcribe" and see the results |
|
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| ## Models Used |
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| - **ASR Model**: [Qwen/Qwen3-ASR-1.7B](https://huggingface.co/Qwen/Qwen3-ASR-1.7B) |
| - **Forced Aligner**: [Qwen/Qwen3-ForcedAligner-0.6B](https://huggingface.co/Qwen/Qwen3-ForcedAligner-0.6B) |
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| ## Setup (For Space Owners) |
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| This Space requires access to private models. You need to set up the `HF_TOKEN` secret: |
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| 1. Go to your Space Settings |
| 2. Navigate to "Repository secrets" |
| 3. Add a new secret with name `HF_TOKEN` and your Hugging Face access token as the value |
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| ## Links |
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| - [GitHub Repository](https://github.com/Qwen/Qwen3-ASR) |
| - [Model Card](https://huggingface.co/Qwen/Qwen3-ASR-1.7B) |
|
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| ## License |
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| Apache 2.0 |
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|
