Downloads · 30 days
36
1% of all-time downloads
popcornell/pyannote-segmentation-chime6-mixer6
pyannote-segmentation-chime6-mixer6 is a voice activity detection model from popcornell. Use it for the voice activity detection task on the model card, and read the license before you ship it in a product. It is set up for pyannote-audio. The card lists the license as mit.
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…
Downloads · 30 days
36
1% of all-time downloads
All-time downloads
4.1K
Public
Repo size
17.7 MB
Likes
1
Public
Click a slice to open those files.
.rttm19 MB · 52%
From the Hugging Face model README
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.
Relies on pyannote.audio 2.1.1: see installation instructions.
from pyannote.audio import Model
model = Model.from_pretrained("popcornell/pyannote-segmentation-chime6-mixer6")