NVIDIA Releases Nemotron 3.5 Transcribe and Granary v2 Data Pipeline
NVIDIA has released the open-weight model Nemotron 3.5 Transcribe on Hugging Face and ModelScope, integrating transcription, speaker diarization, translation, and audio question answering into a single checkpoint. It supports transcription in 40 languages, translation between 31 languages and English, and speaker labeling in 13 languages, can process recordings up to 1 hour long, and can label up to 8 speakers. The model ranks first among open-weight models on the English leaderboard of the Hugging Face Open ASR Leaderboard with an average WER of 5.33%, and achieves 2.8% AA-WER on Artificial Analysis with approximately 4B activated parameters. The simultaneously released Granary v2 covers 48 languages and 463,062 hours of speech data, and the accompanying NeMo Speech fine-tuning recipe reduced WER on held-out speakers from 22.44% to 12.17% in a medical case.
- Analytics India Magazine
- Artificial Analysis
- gihyo.jp
- Hugging Face
- MarkTechPost
- NVIDIA Blog
- TechCrunch AI
- Testing Catalog
- The New Stack
Why read thisThe original text provides unified weights for multilingual transcription, speaker diarization, and translation, along with public leaderboards and fine-tuning recipes, making it easy to assess deployment approaches.




