VibeVoice-ASR
This is not your average ASR model. VibeVoice-ASR is a next-generation open-source speech-to-text system built for real work like podcasts, interviews, meetings, lectures, and long recordings.
Its standout feature is 60-minute single-pass transcription. One clean run with no chunking and no lost context.
Why It’s Special
- Automatic speaker separation (diarization) with consistent speaker tracking
- Structured output including who spoke, when, and what was said
- Multilingual support for 50+ languages
- Custom hotwords and context injection for domain accuracy
- Fast inference options with vLLM support
- Research-grade architecture using ultra-low 7.5 Hz speech tokenization and LLM-driven context awareness
Perfect For
- Podcasts and interviews with multiple speakers
- Long meetings, lectures, and panels
- YouTube captions, subtitles, and archives
- Downstream AI and analysis workflows
If you care about long-form accuracy, speaker separation, and clean structured output, this is the ASR model you’ve been waiting for.
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