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