Models New
Nvidia releases Nemotron 3.5 Transcribe, an open-weight speech model that transcribes 40 languages and tells speakers apart
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Nvidia on Wednesday released Nemotron 3.5 Transcribe, an open-weight model that transcribes 40 languages, translates 31 of them to or from English and labels up to eight speakers in 13 languages. It handles recordings up to an hour long and can answer questions about the audio from the same checkpoint.
TechCrunch puts the model at 30 billion parameters; Nvidia's notes say about 4 billion are active at a time and that it runs on a single Nvidia GPU, from DGX Spark to Blackwell systems. Nvidia says it ranks first among open-weight models on the Hugging Face Open ASR leaderboard's accuracy-for-size frontier, at a 5.33% average word error rate.
Nvidia also released Granary v2, an open speech dataset and curation pipeline, with fine-tuning recipes. In Nvidia's own test, fine-tuning cut the word error rate on held-out speakers by 45.8% relative to the best prompt. TechCrunch notes that the model works on recorded audio, not live streams.
Caveat. Leaderboard positions and error rates are Nvidia's own figures; language support differs by task, and audio question answering is trained in English.
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