---
title: "Speaker Diarization"
description: "1 posts about Speaker Diarization, summarised, each linking to the original."
---

# Speaker Diarization
> 1 posts about Speaker Diarization, summarised, each linking to the original.

## Articles

### [\*\*Know Who Spoke When: Build Real-Time, Multi-Speaker AI with NVIDIA Nemotron 3 Diarization\*\*](https://yomu.fyi/post/know-who-spoke-when-build-real-time-multi-speaker-ai-with-nvidia-nemot.md)
- Company: [Hugging Face](https://yomu.fyi/company/hugging-face.md)
- Author: Francesco, Ivan Medennikov, Taejin Park, Jagadeesh Balam, Adi- margolin, Maryam Motamedi
- Published: Sep 23, 2026
- Type: Announcement

NVIDIA Nemotron 3 Diarization is an open-weight, 100M-parameter model that ranks #1 on VoiceArena’s Diarization-Bench leaderboard with a 14.72% Diarization Error Rate (DER). It classifies who spoke when in conversations, handling overlapping speech and supporting up to eight speakers across live and recorded audio. The model uses a Sortformer approach with arrival-order speaker labeling, a 31-layer Transformer encoder, and two memory mechanisms for streaming inference. It accepts 16 kHz single-channel audio and outputs a floating-point tensor of speaker-activity probabilities at a configurable time step. Developers can combine its timestamps with automatic speech recognition to produce speaker-attributed transcripts, with recommended input-buffer latencies ranging from 0.32 to 30.4 seconds.