version: 3.1.0 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: 32 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