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popcornell/pyannote-segmentation-chime6-mixer6

sourceHugging Facemitupdated 3y agoView on Hugging Face

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Pyannote Segmentation model fine-tuned on CHiME-7 DASR data

This repo contains the Pyannote Segmentation model fine-tuned on data from CHiME-7 DASR Challenge. Only CHiME-6 (train set) data was used for training while Mixer 6 (dev set) was used for validation in order to avoid overfitting CHiME-6 scenario (Mixer 6 is arguably the most different scenario within the three in CHiME-7 DASR so I used it in validation here as the ultimate score is a macro-average across all scenarios).

It is used to perform diarization in the CHiME-7 DASR diarization baseline. <br> For more information see the [CHiME-7 DASR baseline recipe in ESPNEt2](https://github.com/espnet/espnet/egs2/chime7_task1/diar_asr1).

Usage

Relies on pyannote.audio 2.1.1: see installation instructions.

python

from pyannote.audio import Model
model = Model.from_pretrained("popcornell/pyannote-segmentation-chime6-mixer6")