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--- |
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license: mit |
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datasets: |
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- ami |
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language: |
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- en |
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library_name: pyannote-audio |
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pipeline_tag: voice-activity-detection |
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tags: |
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- chime7_task1 |
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--- |
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## Pyannote Segmentation model fine-tuned on CHiME-7 DASR data |
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This repo contains the [Pyannote Segmentation](https://huggingface.co/pyannote/segmentation/tree/main) model fine-tuned on data from CHiME-7 DASR Challenge. |
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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 |
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(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). |
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It is used to perform diarization in the CHiME-7 DASR diarization baseline. <br> |
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**For more information see the [CHiME-7 DASR baseline recipe in ESPNEt2](https://github.com/espnet/espnet/egs2/chime7_task1/diar_asr1).** |
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## Usage |
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Relies on pyannote.audio 2.1.1: see [installation instructions](https://github.com/pyannote/pyannote-audio). |
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```python |
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from pyannote.audio import Model |
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model = Model.from_pretrained("popcornell/pyannote-segmentation-chime6-mixer6") |
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``` |
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