Speaker Diarization On Ami
Métriques
DER(%)
FA
Miss
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | DER(%) | FA | Miss | Paper Title | Repository |
|---|---|---|---|---|---|
| pyannote (MFCC) | 6.3 | 3.5 | 2.7 | pyannote.audio: neural building blocks for speaker diarization | |
| pyannote (waveform) | 6.0 | 3.6 | 2.4 | pyannote.audio: neural building blocks for speaker diarization |
0 of 2 row(s) selected.