Nvidia's open Nemotron 3.5 Transcribe combines transcription, translation, and speaker recognition

Nvidia released Nemotron 3.5 Transcribe, an open speech model that follows text instructions to transcribe 40 languages, translate 31 to or from English, identify speakers in 13, and answer questions about recordings up to an hour long with up to eight speakers. The 30-billion-parameter model activates about 4 billion parameters per step, runs on a single Nvidia GPU, and ranks first among open-weight models on Hugging Face's English Open ASR Leaderboard with a 5.33 percent average word error rate. Nvidia also released the Granary v2 dataset of about 844,000 hours of speech in 48 languages plus dataset-building tools, and reported that targeted fine-tuning on recordings of Indian doctors and medical students cut error rates from 30.8 to 11.8 percent in about 14 GPU hours on one GB300.