Voice AI in vogue: Nvidia releases new open transcription model
Voice AI in vogue: Nvidia releases new open transcription model
NVIDIA has released the open-source speech-to-text model Nemotron 3.5 Transcribe, supporting transcription in 40 languages, containing 3 billion parameters, and running on Jetson AGX Thor and DGX Spark chips. The model can translate 31 languages, distinguish 8 speakers, and surpass competitors in the Hugging Face Open ASR Leaderboard benchmark tests, but only supports recording audio.
Same story3 other outlets also reported this
- TechCrunch · AI··First·Reading now
NVIDIA releases open-source speech-to-text model Nemotron 3.5 Transcribe
- The Decoder··+50 min
Nvidia releases open-source speech model Nemotron 3.5 Transcribe, integrating transcription, translation, and speaker recognition
- MarkTechPost··+13 h 41 min
NVIDIA released the open-source speech model Nemotron 3.5 Transcribe, supporting transcription of 40 languages.
Adds:active parameters about 4B; offline operation
- ITHome · AI··+16 h 31 min
NVIDIA open-sourced the speech transcription model Nemotron 3.5 Transcribe, supporting 40 languages and 8 speaker separation.
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In Brief
Posted:
8:00 AM PDT · October 28, 2026
Nvidia on Wednesday released Nemotron 3.5 Transcribe, a free, open-weight model that transcribes audio in up to 40 languages. It also released version 2 of Granary, its open source speech dataset.
Nvidia boasts that Nemotron 3.5 can translate 31 languages to and from English, handle recordings up to an hour long, and tell up to eight speakers apart. It claims to beat rivals on benchmarks, including Hugging Face’s Open ASR Leaderboard.
These tools target developers building apps for business meetings and medical transcription, two of AI’s most established footholds in the workplace. Nvidia says developers can use the model, the updated Granary dataset, and tools like its NeMo Speech model to customize apps to recognize an industry’s jargon in each language. One drawback: Transcribe works with recorded audio, not livestreams.
Still, the company promises Transcribe, at 30 billion parameters, can run on a single chip, from the Jetson AGX Thor robotics controller and DGX Spark chip powering new laptops, to Blackwell datacenter chips. It joins Nvidia’s open-weight voice models, including the super small yet powerful Parakeet (1.1 billion parameters).
Nvidia’s latest voice entry comes during a busy period of AI voice releases: Mistral shipped Voxtral 3 earlier this month; ElevenLabs launched Realtime for instant speech in voice agents; and Salesforce released Launa-Omni, its voice model.
Source: TechCrunch · AI · techcrunch.com