# End-to-End Neural Diarization

> Source: https://sukruyusufkaya.com/en/glossary/end-to-end-neural-diarization
> Updated: 2026-05-13T21:07:14.801Z
> Type: glossary
> Category: ses-konusma-audio-ai
**TLDR:** A modern diarization approach that learns segmentation, speaker separation, and timing decisions in a more unified way.

<p>End-to-end neural diarization aims to replace classical modular diarization pipelines with more integrated structures. This allows segmentation, speaker assignment, and overlap handling to be optimized jointly. It offers a strong alternative to classical approaches, especially in complex meeting data and overlapping speech conditions.</p>