Instructions to use microsoft/VibeVoice-ASR-Streaming-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/VibeVoice-ASR-Streaming-7B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="microsoft/VibeVoice-ASR-Streaming-7B")# Load model directly from transformers import AutoProcessor, VibeVoiceForASRStreamingTraining processor = AutoProcessor.from_pretrained("microsoft/VibeVoice-ASR-Streaming-7B") model = VibeVoiceForASRStreamingTraining.from_pretrained("microsoft/VibeVoice-ASR-Streaming-7B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
VibeVoice-ASR-Streaming-7B
VibeVoice-ASR-Streaming is a unified streaming ASR model that transcribes Who (Speaker) said What (Content), with support for Customized Hotwords and 10 languages.
➡️ Code: microsoft/VibeVoice
➡️ Demo: VibeVoice-ASR-Streaming
🔥 Key Features
📝 Streaming Speaker-Attributed Transcription: Continuously transcribes who said what as speech arrives.
👤 Customized Hotwords: Users can provide customized hotwords, such as names and technical terms, to improve recognition of domain-specific content.
🌍 Multilingual Support: It supports Chinese, English, French, German, Italian, Japanese, Korean, Portuguese, Russian, and Spanish.
Evaluation
Installation and Usage
Please refer to the GitHub repository.
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.
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