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pipeline:
name: pyannote.audio.pipelines.SpeakerDiarization
params:
clustering: AgglomerativeClustering
# embedding: pyannote/wespeaker-voxceleb-resnet34-LM # If you want to use the HF model
embedding: pyannote_model_wespeaker-voxceleb-resnet34-LM.bin # If you want to use the local model
embedding_batch_size: 1 # changed from 32 to 1
embedding_exclude_overlap: true
# segmentation: pyannote/segmentation-3.0 # If you want to use the HF model
segmentation: pyannote_model_segmentation-3.0.bin # If you want to use the local model
segmentation_batch_size: 32
params:
clustering:
method: centroid
min_cluster_size: 12
threshold: 0.7045654963945799
segmentation:
min_duration_off: 0.0
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