---
title: README
emoji: 🏃
colorFrom: indigo
colorTo: purple
sdk: static
pinned: false
---

[diarizers-community](https://huggingface.co/diarizers-community) aims to promote speaker diarization on the Hugging Face hub. It comes with [diarizers](https://github.com/kamilakesbi/diarizers), a library for fine-tuning pyannote speaker diarzaition models that is compatible with the Hugging Face ecosystem.

This organization contains: 

- A collection of [multilingual speaker diarization datasets](https://huggingface.co/collections/diarizers-community/speaker-diarization-datasets-66261b8d571552066e003788) that are compatible with diarizers. They have been processed using [diarizers scripts](https://github.com/kamilakesbi/diarizers/blob/main/datasets/README.md).

The currently available datasets are the CallHome (Japanese, Chinese, German, Spanish, English), the AMI Corpus (English), Vox-Converse (English) and Simsamu (French). We aim at adding more datasets in the future to support speaker diarization on the Hub. 

- A collection of [5 fine-tuned segmentation model](https://huggingface.co/collections/diarizers-community/models-66261d0f9277b825c807ff2a) baselines that can be used in a pyannote speaker diarization pipeline.

- Each model has been fine-tuned on a specific language of the Callhome dataset. In comparison to the pretrained [pyannote segmentation model](https://huggingface.co/pyannote/segmentation-3.0), they reach better performance on each of the Callhome test sets:

** ADD BENCHMARK ** 




Edit this `README.md` markdown file to author your organization card.