NVIDIA releases 34B speech model with manifests covering 463,062 hours
Nemotron 3.5 Transcribe combines transcription, translation, speaker labels and audio Q&A; Granary v2 adds public manifests and a reusable curation pipeline.
By Ryan Merket · Published
Primary source: Hugging Face Newsroom
Why it matters
NVIDIA is pairing an open-weight speech model with reusable data and fine-tuning tools, giving developers a route to adapt transcription locally while making the hardware and benchmark caveats visible.
NVIDIA released an open-weight speech model that can transcribe, translate, label speakers and answer questions about recordings, alongside public manifests for 463,062 hours of multilingual speech data. The October 28th announcement puts the model and its data-curation pipeline in developers' hands, with the promise that teams can tune speech recognition to their own terminology, accents and output formats.…
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