DJRHails/pyannote-embedding-voxceleb

Pre-computed speaker embeddings Pre-computed 512-dim L2-normalized speaker embeddings extracted with pyannote/embedding over VoxCeleb 2 dev (5800 speakers via gaunernst/voxceleb2-dev-wds). One utterance per speaker, minimum 3 s duration. Contents voxceleb.pyannote-embedding.npz — numpy .npz archive with: embeddings: (5800, 512) float32 speaker_ids: (5800,) string IDs from the source corpus metadata_json: per-speaker metadata (accent / age / gender / source URL) —… See the full description on the dataset page: https://huggingface.co/datasets/DJRHails/pyannote-embedding-voxceleb.