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title: README
emoji: πŸƒ
colorFrom: indigo
colorTo: purple
sdk: static
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diarizers-community aims to promote speaker diarization on the Hugging Face hub. It contains:

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

Each model has been fine-tuned on a specific Callhome language subset. They achieve better performances on multilingual data compared to pyannote's pre-trained segmentation-3.0 model:

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Note: Results have been obtained using the test script from diarizers.

Together with diarizers-community, we release:

  • diarizers, a library for fine-tuning pyannote speaker diarization models using the Hugging Face ecosystem.

  • A google colab notebook, with a step-by-step guide on how to use diarizers.

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