# NVIDIA's Nemotron-3 Brings Streaming Speaker Diarization

> The new open model applies NVIDIA's Sortformer approach to identify who's speaking, in real time.

Published by The Open Weights on Sep 1, 2026. Canonical: https://theopenweights.com/news/nemotron-3-diarization-wjxi

## Key facts

- Company: NVIDIA
- Model: Nemotron-3-Diarization
- Version: 3
- Category: Speech → Text
- Modalities: Speech → Text
- License: Other (Open weights, commercial use allowed)
- Architecture: Nemotron3DiarizationForAudioFrameClassification
- Precision: FP32
- Weights size: 0.4 GB
- Significance: notable
- Published: 2026-09-01
- Last verified: 2026-10-10
- Hugging Face: https://huggingface.co/nvidia/Nemotron-3-Diarization
- Canonical URL: https://theopenweights.com/news/nemotron-3-diarization-wjxi

NVIDIA has released [Nemotron-3-Diarization](https://huggingface.co/nvidia/Nemotron-3-Diarization), an open model focused on a specific but persistently tricky part of the speech pipeline: figuring out who is speaking and when. The model is built on NVIDIA's Sortformer architecture and is designed to run in a streaming fashion, meaning it can attribute speech to speakers as audio arrives rather than waiting for a full recording.

Speaker diarization is the connective tissue between raw transcription and usable output. Automatic speech recognition tells you what was said; diarization tells you who said it. For meeting notes, call-center analytics, captioning, and any transcript involving more than one voice, that distinction is what turns a wall of text into a readable, attributable conversation.

## Why it matters

The streaming angle is the notable part here. Many diarization systems operate offline, clustering speaker segments after the fact. A model that can label speakers on the fly opens the door to live use cases:

- Real-time captioning that separates participants
- Live meeting and call transcription with speaker tags
- Lower-latency pipelines that pair with streaming ASR

As the first entry under the Nemotron-3-Diarization name, this release gives developers a purpose-built diarization component they can slot alongside NVIDIA's broader speech stack. The model is distributed on Hugging Face under a custom license, so teams weighing it for production should review the terms before building on it.

## Get the model

- [Hugging Face](https://huggingface.co/nvidia/Nemotron-3-Diarization)

## Sources

- [nvidia/Nemotron-3-Diarization](https://huggingface.co/nvidia/Nemotron-3-Diarization) — Hugging Face, Sep 1, 2026

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Source: The Open Weights (https://theopenweights.com/). Aggregated and written by Claude, curated by humans. Cite as: "NVIDIA's Nemotron-3 Brings Streaming Speaker Diarization", The Open Weights, Sep 1, 2026, https://theopenweights.com/news/nemotron-3-diarization-wjxi