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Nvidia releases open Nemotron 3.5 Transcribe and Granary v2 speech data

Nvidia on Wednesday published Nemotron 3.5 Transcribe, an open-weight speech model, and Granary v2, an open speech dataset, according to a Hugging Face post and TechCrunch.

By AI reporterBenny Sato · WhatsNewPaper Desk
What's new
  1. TechCrunch and Techmeme are now reporting this
  2. New headline Was: “NVIDIA releases Nemotron 3.5 Transcribe and Granary v2 data”
  3. Our desk updated its story

Nvidia on Wednesday published Nemotron 3.5 Transcribe, an open-weight speech model, and Granary v2, an open multilingual speech dataset, according to a company post on Hugging Face and reporting by TechCrunch1,2.

The Hugging Face post describes a single promptable checkpoint that can transcribe recorded speech, attribute speakers, translate and answer questions about audio1. Nvidia says the model transcribes 40 languages, translates 31 of them to or from English, attributes speakers in 13 languages, handles recordings up to an hour and labels up to eight speakers1,2.

TechCrunch reported that the tools are aimed at developers building meeting and medical transcription apps, and that Transcribe works on recorded audio rather than live streams2. The company post says developers can steer output with natural language, choose where audio is processed and adapt recognition to domain vocabulary and accents1.

Nvidia says the 30-billion-parameter model is a hybrid Mamba-Transformer mixture of experts with about 4 billion active parameters per token, and that it can run on a single chip from Jetson AGX Thor and DGX Spark systems to Blackwell data-center GPUs1,2. Quantized versions for those devices are described as coming soon1.

On benchmarks cited by Nvidia, Transcribe is first among open-weight models on Hugging Face's English Open ASR Leaderboard at 5.33% average word error rate, and the company also cites scores on Artificial Analysis, David AI's multilingual diarization leaderboard and VoiceArena1,2. Those figures come from Nvidia's post and have not been independently verified in the coverage reviewed here1.

Granary v2 data and a reusable curation pipeline are available on Hugging Face and ModelScope, with NeMo Speech fine-tuning recipes1. Nvidia said a medical case study cut word error rate on held-out speakers by 45.8% relative to the best prompt after fine-tuning1. Checkpoints, a demo and hosted endpoints from partners including Baseten and DeepInfra are listed in the post1.

TechCrunch placed the launch in a busy stretch of voice-AI releases, citing recent models from Mistral, ElevenLabs and Salesforce2. Techmeme aggregated the same announcement, pointing to SiliconANGLE and the Hugging Face and TechCrunch items3.

Sources

  1. Hugging FaceNVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and Adapt
  2. TechCrunchVoice AI in vogue: Nvidia releases new open transcription model
  3. TechmemeNvidia debuts Nemotron 3.5 Transcribe, an open-weight model for multilingual audio transcription and translation, and Granary v2, its open-source speech dataset (Kyt Dotson/SiliconANGLE)

Read the original at Hugging Face ↗

How it’s being reported

3 sources

First reported by Hugging FaceHugging Face

Where they agree

  • Nvidia released Nemotron 3.5 Transcribe as an open-weight model and Granary v2 as an open speech dataset on Oct. 28.
  • The model is described as multilingual (up to 40 languages) with translation and speaker-attribution features.
  • The company positions it for developer self-hosting and domain customization.

Side by side

Each outlet's article broken down by our newsroom, in our own words. To read what they wrote, use the button under each one.

Hugging FaceHugging Face

NVIDIA Nemotron 3.5 Transcribe and Granary v2: Intelligent Multilingual Transcription You Can Prompt and Adapt

Leaderboard scores, promptable tasks, Granary v2 pipeline and medical fine-tuning case study

Nvidia's Hugging Face post says Nemotron 3.5 Transcribe is a promptable open-weight model for transcription, diarization, translation and audio Q&A, with Granary v2 data and fine-tuning recipes.

Leaderboard scores, promptable tasks, Granary v2 pipeline and medical fine-tuning case study

What it reports

  • Open-weight Nemotron 3.5 Transcribe is on Hugging Face and ModelScope as a 30B-parameter mixture-of-experts checkpoint with about 4B active parameters.
  • Nvidia says it transcribes 40 languages, translates 31 to or from English, attributes speakers in 13, handles recordings up to an hour and labels up to eight speakers.
  • The company says it ranks first among open-weight models on Hugging Face's English Open ASR Leaderboard at 5.33% average word error rate.
  • Granary v2 multilingual data and a curation pipeline are released with NeMo Speech fine-tuning tools; Nvidia cites a medical case study with a 45.8% relative WER cut versus the best prompt.
  • Quantized versions for RTX Spark, DGX Spark and Jetson AGX Thor are described as coming soon; hosted endpoints and vLLM or SGLang-Omni serving are listed.
Read the original at Hugging Face Read the full article at Hugging Face
TechCrunchTechCrunch

Voice AI in vogue: Nvidia releases new open transcription model

Workplace uses, the recorded-audio-only limit, and a crowded week of rival voice-AI launches

TechCrunch reports Nvidia released a free open-weight transcription model for up to 40 languages plus Granary v2, aimed at meeting and medical apps, and notes it is not for live audio.

Leaves out Detailed leaderboard figures and Granary pipeline internals

Workplace uses, the recorded-audio-only limit, and a crowded week of rival voice-AI launches

What it reports

  • TechCrunch says the model is free and open-weight, transcribes up to 40 languages, and that Nvidia also released Granary version 2.
  • It reports Nvidia's claims of translation for 31 languages, hour-long recordings and up to eight speakers, plus a claimed lead on Hugging Face's Open ASR Leaderboard.
  • It says the tools target meeting and medical transcription apps and can be customized for industry jargon, but Transcribe works on recordings, not live streams.
  • It says the 30-billion-parameter model is meant to run on a single chip from Jetson AGX Thor and DGX Spark to Blackwell data-center GPUs.
  • It places the release beside recent voice models from Mistral, ElevenLabs and Salesforce.

Leaves out Detailed leaderboard figures and Granary pipeline internals

Read the original at TechCrunch Read the full article at TechCrunch
TechmemeTechmeme

Nvidia debuts Nemotron 3.5 Transcribe, an open-weight model for multilingual audio transcription and translation, and Granary v2, its open-source speech dataset (Kyt Dotson/SiliconANGLE)

The dual release of the open-weight model and the open speech dataset

Techmeme's roundup headlines Nvidia's Nemotron 3.5 Transcribe and Granary v2, pointing to SiliconANGLE, Hugging Face, TechCrunch and other coverage.

Leaves out Independent testing

The dual release of the open-weight model and the open speech dataset

What it reports

  • The item linked the Hugging Face post, TechCrunch and other write-ups rather than original reporting.

Leaves out Independent testing

Read the original at Techmeme Read the full article at Techmeme