architectures:
  - SegmentationModel
chunk_duration: 10.0
max_speakers_per_chunk: 3
max_speakers_per_frame: 2
min_duration: null
model_type: pyannet
pyannote.audio:
  architecture:
    class: SegmentationModel
    module: pyannote.audio.models.segmentation.PyanNet
sample_rate: 16000
torch_dtype: float32
transformers_version: "4.50.2"
warm_up:
  - 0.0
  - 0.0
weigh_by_cardinality: false


pipeline:
  name: pyannote.audio.pipelines.SpeakerDiarization
  params:
    clustering: AgglomerativeClustering
    embedding: pyannote/wespeaker-voxceleb-resnet34-LM
    embedding_batch_size: 32
    embedding_exclude_overlap: true
    segmentation: pyannote/segmentation-3.0
    segmentation_batch_size: 32

params:
  clustering:
    method: centroid
    min_cluster_size: 12
    threshold: 0.7045654963945799
  segmentation:
    min_duration_off: 0.0