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pipeline:
name: pyannote.audio.pipelines.SpeakerDiarization
params:
segmentation: philschmid/pyannote-segmentation
segmentation_step: 0.1
segmentation_batch_size: 32
# embedding: speechbrain/spkrec-ecapa-voxceleb@5c0be3875fda05e81f3c004ed8c7c06be308de1e
embedding: speechbrain/spkrec-ecapa-voxceleb
embedding_exclude_overlap: True
embedding_batch_size: 32
clustering: HiddenMarkovModelClustering
params:
segmentation_onset: 0.58
clustering:
covariance_type: diag
threshold: 0.35
single_cluster_detection:
quantile: 0.05
threshold: 1.15
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