Nvidia releases open-weight Nemotron 3.5 Transcribe speech model
Nvidia has launched Nemotron 3.5 Transcribe, an open-weight ASR model combining transcription, speaker diarization, translation and audio Q&A in one checkpoint, now available on Hugging Face and ModelScope. It transcribes 40 languages, translates 31 to or from English, identifies up to eight speakers across 13 languages, and handles recordings up to an hour long. Nvidia also released the Granary v2 training dataset and fine-tuning recipes via NeMo Speech tools to help developers adapt the model.
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The model tops several independent leaderboards including Hugging Face's Open ASR Leaderboard and David AI's diarization rankings, which could position it as a credible open alternative to proprietary transcription APIs. Offering fine-tuning tools and on-device deployment via RTX, DGX Spark and Jetson hardware suggests Nvidia is trying to extend its ecosystem lock-in beyond GPUs into applied AI tooling for enterprises handling sensitive audio like medical dictation.
- Nemotron 3.5 Transcribe handles transcription, diarization, translation and audio Q&A in a single open-weight model.
- It supports 40 languages for transcription, 31 for translation, and speaker attribution in 13 languages.
- Nvidia released the Granary v2 dataset and fine-tuning tools, with quantized versions planned for local hardware like Jetson and RTX Spark.
Blue Yeti USB Microphone — If you're experimenting with transcription, diarization, and speech-to-text models like Nemotron 3.5, clean audio input makes a huge difference in output quality. The Blue Yeti is a reliable USB mic popular with podcasters and developers testing voice applications, letting you capture crisp multi-speaker recordings for ASR fine-tuning or demos.
See Blue Yeti USB Microphone on Amazon → Affiliate link — we may earn a commission on purchases, at no extra cost to you. Product picked by AI based on this article; it is not a tested recommendation.Source: huggingface.co, 2026-10-28
Published there as: “Nvidia Nemotron 3.5 Transcribe: open ASR for 40 languages”
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