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title: README
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diarizers-community aims to promote speaker diarization on the Hugging Face hub. It comes with 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 that are compatible with diarizers. They have been processed using diarizers scripts.
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 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, they reach better performance on each of the Callhome test sets:
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