pyannote-rs uses 2 models for speaker diarization:

1. Segmentation: segmentation-3.0 identifies when speech occurs.
2. Speaker Identification: wespeaker-voxceleb-resnet34-LM identifies who is speaking.

Inference is powered by onnxruntime.

• The segmentation model processes up to 10s of audio, using a sliding window approach (iterating in chunks).
• The embedding model processes filter banks (audio features) extracted with knf-rs.

Speaker comparison (e.g., determining if Alice spoke again) is done using cosine similarity.