Speaker Diarization On Callhome
Metriken
DER(ig olp)
Ergebnisse
Leistungsergebnisse verschiedener Modelle zu diesem Benchmark
| Paper Title | ||
|---|---|---|
| PLDA+AHC (Oracle SAD) | 8.39 | Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap |
| COS+NME-SC (Oracle SAD) | 7.29 | Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap |
| COS+B-SC (Oracle SAD) | 8.78 | Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap |
| COS+AHC (Oracle SAD) | - | Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap |
| SA-EEND (2-spk, no-adapt) | - | End-to-End Neural Speaker Diarization with Self-attention |
| SA-EEND (2-spk, adapted) | - | End-to-End Neural Speaker Diarization with Self-attention |
| TOLD | 7.37 | TOLD: A Novel Two-Stage Overlap-Aware Framework for Speaker Diarization |
| EEND-OLA | 9.14 | TOLD: A Novel Two-Stage Overlap-Aware Framework for Speaker Diarization |
| COS+NJW-SC (Oracle SAD) | - | Auto-Tuning Spectral Clustering for Speaker Diarization Using Normalized Maximum Eigengap |
| EEND | - | End-to-End Neural Speaker Diarization with Permutation-Free Objectives |
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